The PROFOUND database and R package

Ramiro Silveyra Gonzalez, Christopher Reyer, Florian Hartig, Friedrich Bonn, Klara Dolos

2018-07-17

Introduction

Rationale

Within the COST Action FP1304 PROFOUND, we are developing a database that allows to test forest models against a wide range of observational data. This database will be part of a structured model comparison for several forest sites throughout Europe (10-15 forests) to unravel model uncertainties and to provide robust projections of climate change impacts. This model comparison should make use of the wide range of data types that have become available in recent years. We have therefore started compiling data from all kinds of sources in a database. However, in the long-term, the database is envisioned to be not only useful for the model comparison but to develop into a key benchmark dataset for forest models in general.

The database makes also use of data files that you have gratefully provided us with or that we have extracted from data repositories you are involved in. Our aim is to publish the database as part of a ”data paper for harmonized model evaluation” so that whenever a researcher wants to run a model, they could do so using the data as comprehensive test material. The added value of that database is that several data types are brought together (e.g. soil, tree, flux data, satellite and also climate data including scenarios etc…) and the data is harmonized as much as possible and prepared to be ready-to-use for modelers. We do not intend to replace larger database such as ICOS, Euroflux etc. but want provide a product targeted to modelers needs.

Data policy

The PROFOUND database combines data from existing data sources which are either freely available or available after registration. The added value of the PROFOUND database resides in the combination, harmonization and preparation of the different data types for forest ecosystem modelers. Therefore, the license is for the database while the rights for the individual raw datasets reside with the actual data owners. The PROFOUND database is only redistributing the data.

This work is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license (CC BY 4.0). You are free to copy and redistribute the material in any medium or format and remix, transform, and build upon the material for any purpose, even commercially.

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Please cite the work as follows: Reyer, CPO et al. (2017) The PROFOUND database for evaluating forest models for climate impact assessments at the stand scale. Earth System Science Data XXX:XXX-XXX. License: Creative Commons Attribution 4.0 (CC BY 4.0).

Further data policy statements of the individual datasets contained in the PROFOUND database are listed in the table below.

Table 1: Additional data policy statements specific to the individual datasets included in the PROFOUND database.
dataset dataPolicy
CLIMATE_ISIMIP2B Standard PROFOUND database policy
CLIMATE_ISIMIP2BLBC Standard PROFOUND database policy
CLIMATE_ISIMIP2A Standard PROFOUND database policy
CLIMATE_ISIMIPFT Standard PROFOUND database policy
NDEPOSITION_EMEP Please consider this data policy statement from EMEP: The Environment Agency - Austria allows the reproduction of its resources, with appropriate citation, for non-commercial purposes provided no other more specific rules apply. The officially reported emission data should be cited as: EMEP/CEIP 2014 Present state of emission data; http://www.ceip.at/webdab_emepdatabase/reported_emissiondata/ or http://www.ceip.at/status_reporting/2014_submissions/.
NDEPOSITION_ISIMIP2B Standard PROFOUND database policy
CO2_ISIMIP Standard PROFOUND database policy
ENERGYBALANCE Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here.  Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org).  The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site.  Every publication should use the standard FLUXNET acknowledgment given below.  It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material.  Finally, all data providers should be informed of forthcoming publications.
FLUX Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here.  Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org).  The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site.  Every publication should use the standard FLUXNET acknowledgment given below.  It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material.  Finally, all data providers should be informed of forthcoming publications.
METEOROLOGICAL Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here.  Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org).  The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site.  Every publication should use the standard FLUXNET acknowledgment given below.  It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material.  Finally, all data providers should be informed of forthcoming publications.
SOILTS Please consider this data policy statement from FLUXNET: This work used eddy covariance data acquired and shared by the FLUXNET community, including these networks: CarboEuropeIP, CarboItaly and ICOS. The FLUXNET eddy covariance data processing and harmonization was carried out by the ICOS Ecosystem Thematic Center, AmeriFlux Management Project and Fluxdata project of FLUXNET, with the support of CDIAC, and the OzFlux, ChinaFlux and AsiaFlux offices. Tier One data are open and free for scientific and educational purposes and their use will follow the fair use policy, stated here.  Data users describe the intended use of the data when they fill out the data-download form; this intended-use statement will be emailed to the data producer(s) and posted on the Fluxdata website (https://fluxnet.fluxdata.org).  The fair use policy dictates that (1) data producers are informed of who uses the data and for what purpose (which can be satisfied by the aforementioned mechanism) and (2) that proper acknowledgment and citations are given to all data used in a peer reviewed publication, via the following protocols: The data citation will be either a per-site DOI that is provided with the data download or a citation of a publication for each site.  Every publication should use the standard FLUXNET acknowledgment given below.  It is requested that every publication specify each site used with the FLUXNET-ID, data-years used, data DOI (in preparation), and brief acknowledgment for funding (if provided by FLUXNET PI) in the text or supplementary material.  Finally, all data providers should be informed of forthcoming publications.
MODIS_MOD09A1 When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD09A1 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-27, and subset size: 0.5 x 0.5 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD09A1 was (were) retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273
MODIS_MOD11A2 When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD11A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-03-05 to 2015-12-27, and subset size: 1 x 1 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD11A2 was (were) retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273
MODIS_MOD13Q1 When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD13Q1 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD13Q1 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273
MODIS_MOD15A2 When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD15A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD15A2 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273
MODIS_MOD17A2 When using the data, please cite it as ORNL DAAC 2008 and include the following reference (ORNL DAAC 2008. MODIS Collection 5 Land Products Global Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed June 25, 2016. Subset obtained for MOD17A2 product at various sites in Spatial Range: N=70.00N, S=35.00N, E=50.00E, W=10.00W, time period: 2000-02-18 to 2015-12-19, and subset size: 0.25 x 0.25 km. http://dx.doi.org/10.3334/ORNLDAAC/1241) in the reference list of your publication. Please also acknowledge the data in the following way: The MOD17A2 was retrieved from MODISTools (Tuck et al., 2014), courtesy of the NASA EOSDIS Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, https://lpdaac.usgs.gov/. For MODISTools see Tuck, Sean L. and Phillips, Helen R.P. and Hintzen, Rogier E. and Scharlemann, Jörn P.W. and Purvis, Andy and Hudson, Lawrence N. (2014) MODISTools – downloading and processing MODIS remotely sensed data in R. Ecology and Evolution, (4) 24, 4658–4668. http://dx.doi.org/10.1002/ece3.1273
TREE See site specific policy
STAND See site specific policy
SOIL See site specific policy
CLIMATE_LOCAL See site specific policy

SQL Database

The PROFOUND database is a relational SQLite database and it is made of several independent tables (see Fig. 1). From these tables many views are created that can be accessed and downloaded by users. We are also developing a R package to ease the queries of data from the database.

R package

We have developed a R package to ease the queries of data from the database.

Database and package releases

Both package and database are under development. The new database and package relases are published in the PROFOUND repository. Users with no Github access are welcome to join the Github repository.

Figure 1: Overview on the PROFOUND database and the R package.

Figure 1: Overview on the PROFOUND database and the R package.

The PROFOUND database

Site overview

The PROFOUND database includes 9 forest sites. They are listed in the table below.

Table 2: Forest sites included in the database.
site_id site lat lon epsg country aspect_deg elevation_masl slope_percent
3 bily_kriz 49.3 18.32 4326 Czech Republic 180 875 12.5
5 collelongo 41.85 13.59 4326 Italy 252 1560 10
12 hyytiala 61.85 24.3 4326 Finland 180 185 2
13 kroof 48.25 11.4 4326 Germany 1.8 502 2.1
14 le_bray 44.72 -0.769 4326 France – 61 0
16 peitz 51.92 14.35 4326 Germany – 50 0
20 solling_beech 51.77 9.57 4326 Germany 225 504 1
21 soro 55.49 11.64 4326 Denmark – 40 0
25 solling_spruce 51.77 9.58 4326 Germany 90 508 1

To provide the information on which data is available for each site, an overview table is created by combining all existing tables in the database.

Table 3: Overview of sites and datasets
site_id site SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
3 bily_kriz 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
5 collelongo 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
12 hyytiala 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
13 kroof 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
14 le_bray 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
16 peitz 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
20 solling_beech 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
21 soro 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
25 solling_spruce 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Data types

Dataset SITES

The sites parameters were provided by the local site data responsibles. The sites variables that we included in the database are listed in the table below.

Table 4: Description of SITES variables included in the database.
variable type units description
site TEXT adimensional Site name
site2 TEXT adimensional Additional site name
site_id INTEGER adimensional Site code as decimal number (01-99)
aspect_deg REAL degree Direction of slope inclination. Degrees against North. No Value indicates no exposition.
country TEXT adimensional Country
elevation_masl REAL m Elevation above sea level as recorded by PI
epsg INTEGER adimensional EPSG Coordinate System
lat REAL degree decimal Latitude
lon REAL degree decimal Longitude
natVegetation_code1 TEXT adimensional Code of the vegetation mapping unit group in the “Map of the Natural Vegetation of Europe”. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany.
natVegetation_code2 TEXT adimensional Code of the vegetation mapping unit in the “Map of the Natural Vegetation of Europe”. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany.
natVegetation_description TEXT adimensional Description of natVegetation_code2. BOHN, U.; GOLLUB, G. & HETTWER, C. (2000) Karte der natuerlichen Vegetation Europas. Massstab 1:2.500.000 Karten und Legende. Teil 1-3.. Bundesamt fuer Naturschutz, Bonn, Germany.
slope_percent REAL percent Mean slope within the plot

Dataset SITEDESCRIPTION

The sites description were provided by the local site data responsibles. The site description variables that we included in the database are listed in the table below.

Table 5: Description of SITEDESCRIPTION variables included in the database.
variable type units description
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (01-99)
description TEXT adimensional Ecological description of the site
reference TEXT adimensional Publications referring to the site description and the site datasets

Dataset TREE

The individual tree data were provided by the local site data responsibles. The tree level variables that we included in the database are listed in the table below.

Table 6: Description of TREE variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (01-99)
species TEXT adimensional Species name
species_id TEXT adimensional Species text code
year INTEGER YYYY Year with century as decimal number (0000-9999)
dbh1_cm REAL cm Diameter at breast height
height1_m REAL m Tree height
size_m2 REAL m2 Plot size

Dataset STAND

The stand data were provided by the local site data responsibles. In some cases, the data were derived using the function summarizeData included in this package. The stand variables that we included in the database are listed in the table below.

Table 7: Description of STAND variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (01-99)
species TEXT adimensional Species name
species_id TEXT adimensional Species text code
year INTEGER YYYY Year with century as decimal number (0000-9999)
aboveGroundBiomass_kgha REAL kg ha-1 Above ground biomass
age INTEGER years Mean stand age
ba_m2ha REAL m2 ha-1 Basal area per hectare
branchesBiomass_kgha REAL kg ha-1 Branches biomass
dbhArith_cm REAL cm Arithmetic mean diameter
dbhBA_cm REAL cm Average diameter weighted by basal area calculated as dbhBA = (ba1dbh1 + ba2dbh2 + … + bak*dbhk) / (ba1 + ba2+ … + bak), where bai and dbhi are the basal area and dbh, respectively, of the tree i, and i = 1, 2, . . , k
dbhDQ_cm REAL cm Mean squared diameter or quadratic mean diameter calculated as dbhDQ = sqrt( (dbh12 + dbh22+ … + dbhk^2) / N), where dbhi is the diameter at breat height of tree i, i = 1, 2, . . , k, N is the total number of trees, and sqrt is the square root
density_treeha REAL tree ha-1 Number of tree per ha
foliageBiomass_kgha REAL kg ha-1 Foliage biomass
heightArith_m REAL m Arithmetic mean height
heightBA_m REAL m Average height weighted by basal area or Loreys height calculated as heightBA = (ba1h1 + ba2h2 + … + bak*hk) / (ba1 + ba2+ … + bak), where bai and hi are the basal area and height, respectively, of the tree i, and i = 1, 2, . . , k
lai REAL adimensional Leaf Area Index
rootBiomass_kgha REAL kg ha-1 Root biomass
stemBiomass_kgha REAL kg ha-1 Stem biomass
stumpCoarseRootBiomass_kgha REAL kg ha-1 Stump and coarse roots biomass

Dataset SOIL

The soil data were provided by the local site data responsibles. The variables that we included in the database are listed in the table below. The data is very heteregenous, therefore not all variables are available for each site.

Table 8: Description of SOIL variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (1-99)
date TEXT adimensional Unformatted date of inventory as provided for the inventory. See site specific metadata for further information on date.
bs_percent REAL percent Percentage of alkaline and earth alkaline metals at CEC
cMax_percent REAL percent Maximum soil carbon content
cMin_percent REAL percent Minimum soil carbon content
cOrgSigma_percent REAL percent Soil organic carbon content error estimate as standard deviation
cOrg_gcm3 REAL g cm-3 Soil organic carbon content
cOrg_percent REAL percent Soil organic carbon content
cSigma_kgm2 REAL kg m-2 Soil carbon content error estimate as standard deviation
c_kgm2 REAL kg m-2 Soil carbon content
c_percent REAL percent Soil carbon content
cec_µeqg REAL µeq g-1 Soil cation exchange capacity
claySigma_percent REAL percent Soil clay particle content error estimate as standard deviation
clay_percent REAL percent Soil clay particle content
cn REAL adimensional Soil C:N ratio
densitySigma_gcm3 REAL g cm-3 Soil bulk density content error estimate as standard deviation
density_gcm3 REAL g cm-3 Soil bulk density
fcapv_percent REAL percent Soil field capacity
fineRoot_percent REAL percent Distribution of fine roots accross soil horizons
gravel_percent REAL percent Soil gravel particle content
horizon TEXT adimensional Name of soil horizon
humus_tCha REAL tC ha-1 Humus carbon content
hydCondSat_cmd1 REAL cm d-1 Soil hydraulic conductivity at saturation
layer_id INTEGER adimensional Layer code as decimal number (1-99)
lowerDepth_cm REAL cm Lower soil horizon limit
mbCSigma_mgg REAL mg C g-1 dry soil Soil microbial biomass carbon error estimate as standard deviation
mbC_mgg REAL mg C g-1 dry soil Soil microbial biomass carbon
mbNSigma_mgNg REAL mg N g-1 dry soil Soil microbial biomass nitrogen error estimate as standard deviation
mbN_mgNg REAL mg N g-1 dry soil Soil microbial biomass nitrogen
minRSigma_mgkgh REAL mg N kg-1 h-1 Soil mineralisation rate error estimate as standard deviation
minR_mgkgh REAL mg N kg-1 h-1 Soil mineralisation rate
nMax_percent REAL percent Maximum soil nitrogen content
nMin_percent REAL percent Minimum soil nitrogen content
nOrgSigma_percent REAL percent Soil organic nitrogen content error estimate as standard deviation
nOrg_percent REAL percent Soil organic nitrogen content
n_kgm2 REAL kg m-2 Soil nitrogen content
n_percent REAL percent Soil nitrogen content
ofhC_percent REAL percent The organic fermentative-humic (Ofh) subhorizon consists of forest litter (leaves, bark, twigs etc) showing considerable decay.
ofhN_percent REAL percent Carbon content in a gram of OFH sample
ofh_gDWm2 REAL g DW m-2 Litter layer (leaves not decomposed)
ol_gDWm2 REAL g DW m-2 Nitrogen content in a gram of OFH sample
phSigma_h2o REAL adimensional Soil pH determined with H2O error estimate as standard deviation
phSigma_kcl REAL adimensional Soil pH determined by KCl error estimate as standard deviation
ph_cacl2 REAL adimensional Soil pH determined with CaCl2
ph_h2o REAL adimensional Soil pH determined with H2O
ph_kcl REAL adimensional Soil pH deterimed with KCl
porosity_percent REAL percent Soil water content at saturation in the bulk soil
rainGroundWater REAL adimensional Whether the soil is mostly influenced by rain or ground water
sandSigma_percent REAL percent Soil sand particle content error estimate as standard deviation
sand_percent REAL percent Soil sand particle content
siltSigma_percent REAL percent Soil silt particle content error estimate as standard deviation
silt_percent REAL percent Soil silt particle content
table_id INTEGER adimensional Table code as decimal number (1-99)
texture TEXT adimensional Soil texture
thicknesSigma_cm REAL cm Soil thickness error estimate
thickness_cm REAL cm Soil thickness
type_fao TEXT adimensional Soil type after ISSS-ISRIC-FAO (1998) World reference basis for soil resources. World Soil Resources Reports 84. FAO, Rome. 92 p.
type_ka5 TEXT adimensional Soil type after AG Boden (2005) Bodenkundliche Kartieranleitung. Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover
upperDepth_cm REAL cm Upper soil horizon limit
whcSigma_mm REAL mm Soil water holding capacity error estimate
whc_mm REAL mm Soil water holding capacity
whcp_percent REAL percent Water holding capacity for plant available water
wiltp_percent REAL percent Soil wilting point

Dataset CLIMATE

The climate data contains daily measurements of the following variables: min, max and mean temperature, precipitation, relative humidity, air pressure, global radiation and wind speed.

Table 9: Description of CLIMATE variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (01-99)
date TEXT adimensional Date in format YYYY-MM-DD
year INTEGER YYYY Year with century as decimal number (0000-9999)
mo INTEGER MM Month as decimal number (01-12)
day INTEGER DD Day of the month as decimal number (01-31)
airpress_hPa REAL hPa Mean daily air pressure
p_mm REAL mm Total daily precipitation
rad_Jcm2day REAL J cm-2 day-1 Total daily global radiation
relhum_percent REAL percent Mean daily relative humidity
tmax_degC REAL degree Celsius Maximum daily temperature
tmean_degC REAL degree Celsius Mean daily temperature
tmin_degC REAL degree Celsius Minimum daily temperature
wind_ms REAL m s-1 Mean daily wind speed

Dataset CLIMATE_LOCAL

The CLIMATE LOCAL data refers to climate data measured at each forest site or meteorological stations close to the location of the forest site. For those forest sites for which the data has been derived from half-hourly FLUXNET2015 data, we also provide the original half-hourly data in the table METEOROLOGICAL.

When relative humidity was not part of the original data, we calculated it from the vapour pressure deficit and the daily temperatures as

\[ relhum\_percent = (1 - VPD\_F / es)*100 \]

where

\[ es = (es(tmax\_degC) - es(tmin\_degC))/2 \]

and

\[ es(Ta) = 0.6108e^{(17.27*Ta)/ (Ta + 237.3)} \] Besides the variables listed in Table 9, the CLIMATE_LOCAL dataset contains additional variables to indicate the data quality.

Table 10: Description of CLIMATE_LOCAL quality variables from FLUXNET included in the database.
variable type units description
site TEXT adimensional Site name
airpress_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
p_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
rad_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
relhum_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
tmax_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
tmean_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
tmin_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value
wind_qc REAL adimensional fraction between 0-1; indicating percentage of measured and good quality gapfill half-hourly data used to create the daily value

Dataset CLIMATE_ISIMIP

There are several climatic datasets based on the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP). For each forest site, we extracted the climate data from the corresponding gridcell in the ISIMIP data.

  • CLIMATE_ISIMIPFT: Based on climate data described here: Warszawski, L., Frieler, K., Huber, V., Piontek, F., Serdeczny, O., Schewe, (2013) The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), Proceedings of the National Academy of Sciences,111,9, 3228-3232. doi:10.1073/pnas.1312330110, https://www.isimip.org/gettingstarted/#input-data-bias-correction

  • CLIMATE_ISIMIP2A: Based on climate data described here: https://www.isimip.org/gettingstarted/#input-data-bias-correction

  • CLIMATE_ISIMIP2B: Based on climate data described here: Frieler K., R. Betts, E. Burke, P. Ciais, S. Denvil, D. Deryng, K. Ebi, T. Eddy, K. Emanuel, J. Elliott, E. Galbraith, S.N. Gosling, K. Halladay, F. Hattermann, T. Hickler, J. Hinkel, V. Huber, C. Jones, V. Krysanova, S. Lange, H.K. Lotze, H. Lotze-Campen, M. Mengel, I. Mouratiadou, H. Müller Schmied, S. Ostberg, F. Piontek, A. Popp, C.P.O. Reyer, J. Schewe, M. Stevanovic, T. Suzuki, K. Thonicke, H. Tian, D.P. Tittensor, R. Vautard, M. van Vliet, L. Warszawski, F. Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development (https://www.isimip.org/gettingstarted/#input-data-bias-correction)

  • CLIMATE_ISIMIP2BLBC: Based on climate data described here: Frieler K, R Betts, E Burke, P Ciais, S Denvil, D Deryng, K Ebi, T Eddy, K Emanuel, J Elliott, E Galbraith, SN Gosling, K Halladay, F Hattermann, T Hickler, J Hinkel, V Huber, C Jones, V Krysanova, S Lange, HK Lotze, H Lotze-Campen, M Mengel, I Mouratiadou, H Müller Schmied, S Ostberg, F Piontek, A Popp, CPO Reyer, J Schewe, M Stevanovic, T Suzuki, K Thonicke, H Tian, DP Tittensor, R Vautard, M van Vliet, L Warszawski, F Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development, https://www.isimip.org/gettingstarted/#input-data-bias-correction

ISIMIP climatic datasets contain additionally one or both of these variables

Table 11: Description of CLIMATE_ISIMIP addtional variables included in the database.
variable type units description
site TEXT adimensional Site name
forcingConditions TEXT adimensional This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series, preindustrial picontrol runs or representative concentration pathways (rcp).
forcingDataset TEXT adimensional This category refers to data taken from bias-corrected general circulation models (e.g. hadgem) or historical global meteorological forcing data based on bias-corrected reanalysis data (e.g. watch)

Dataset NDEPOSITION

The nitrogen deposition data contain yearly measurements of the variables listed in the table below.

Table 12: Description of NDEPOSITION variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Name of the site
site_id INTEGER adimensional Site code as decimal number (01-99)
year INTEGER YYYY Year with century as decimal number (0000-9999)
nhx_gm2 REAL g m-2 Total deposition of reduced nitrogen (Dry+Wet RdN)
noy_gm2 REAL g m-2 Total deposition of oxidized nitrogen (Dry+Wet oxN)

Dataset NDEPOSITION_EMEP

The NDEPOSITION_EMEP data were obtained from EMEP/CEIP 2014 Present state of emissions as used in EMEP models (http://www.ceip.at/webdab_emepdatabase/emissions_emepmodels/)

Dataset NDEPOSITION_ISIMIP2B

The NDEPOSITION_EMEP data were extracted for for each forest site from the corresponding gridcell in the ISIMIP data described in Frieler K., R. Betts, E. Burke, P. Ciais, S. Denvil, D. Deryng, K. Ebi, T. Eddy, K. Emanuel, J. Elliott, E. Galbraith, S.N. Gosling, K. Halladay, F. Hattermann, T. Hickler, J. Hinkel, V. Huber, C. Jones, V. Krysanova, S. Lange, H.K. Lotze, H. Lotze-Campen, M. Mengel, I. Mouratiadou, H. Müller Schmied, S. Ostberg, F. Piontek, A. Popp, C.P.O. Reyer, J. Schewe, M. Stevanovic, T. Suzuki, K. Thonicke, H. Tian, D.P. Tittensor, R. Vautard, M. van Vliet, L. Warszawski, F. Zhao (accepted pending revisions) Assessing the impacts of 1.5°C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b). Geoscientific Model Development (https://www.isimip.org/gettingstarted/#input-data-bias-correction). The dataset contains additionally the variable forcingConditions.

Table 13: Description of NDEPOSITION_ISIMIP2B addtional variables included in the database.
variable type units description source
forcingConditions TEXT adimensional This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series, preindustrial picontrol runs or representative concentration pathways (rcp). ISIMIP

Dataset CO2_ISIMIP

The CO2 dataset contains yearly global concentrations of atmospheric CO2 for several forcing conditions.

Table 14: Description of CO2_ISIMIP variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site TEXT adimensional Site name
site_id INTEGER adimensional Site code as decimal number (01-99)
forcingConditions TEXT adimensional This category refers to the conditions underlying the climatic forcing, e.g. following historical CO2 time series or representative concentration pathways (rcp).
year INTEGER YYYY Year with century as decimal number (0000-9999)
co2_ppm REAL ppm CO2 mean global concentrations for the different different forcing conditions: RCP and historical values (1975-2013)

Dataset ATMOSPHERICHEATCONDUCTION

The ENERGYBALANCE data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.

Table 15: Description of ATMOSPHERICHEATCONDUCTION variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site_id INTEGER adimensional Site code as decimal number (01-99)
date TEXT adimensional Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START
year INTEGER YYYY Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START
mo INTEGER MM Month as decimal number (01-12). Derived from TIMESTAMP_START
day INTEGER DD Day of the month as decimal number (01-31). Derived from TIMESTAMP_START
hCORRJOINTUNC_Wm2 REAL W m-2 Joint uncertainty estimation for h as sqrt(hRANDUNC2 + ((hCORR75 - hCORR25) / 1.349)2)
hCORR_Wm2 REAL W m-2 Sensible heat flux, corrected hFMDS by energy balance closure correction factor
hFMDS_Wm2 REAL W m-2 Sensible heat flux, gapfilled using MDS method
hFMDS_qc INTEGER adimensional Quality flag for hCORR. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
leCORRJOINTUNC_Wm2 REAL W m-2 Joint uncertainty estimation for le
leCORR_Wm2 REAL W m-2 Latent heat flux, corrected le_FMDS by energy balance closure correction factor
leFMDS_Wm2 REAL W m-2 Latent heat flux, gapfilled using MDS method
leFMDS_qc INTEGER adimensional Quality flag for leCORR. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
timestampEnd TEXT YYYYMMDDHHMM ISO timestamp end of averaging period - short format
timestampStart TEXT YYYYMMDDHHMM ISO timestamp start of averaging period - short format

Dataset FLUX

The energy balance data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.

Table 16: Description of FLUX variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site_id INTEGER adimensional Site code as decimal number (01-99)
date TEXT adimensional Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START
year INTEGER YYYY Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START
mo INTEGER MM Month as decimal number (01-12). Derived from TIMESTAMP_START
day INTEGER DD Day of the month as decimal number (01-31). Derived from TIMESTAMP_START
gppDtCutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Gross Primary Production, from Daytime partitioning method, reference selected from GPP versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version
gppDtCutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Gross Primary Production, calculated as stdev(gppDtCut_XX) / sqrt(40). SE from 40 half-hourly gppDtCut_XX
gppDtVutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Gross Primary Production, from Daytime partitioning method, reference version selected from GPP versions using a model efficiency approach. Based on corresponding neeVut_XX version
gppDtVutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Gross Primary Production, calculated as stdev(gppDtVut_XX) / sqrt(40. SE from 40 half-hourly gppDtVut_XX
gppNtCutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Gross Primary Production, from Nighttime partitioning method, reference selected from GPP versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version
gppNtCutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Gross Primary Production, calculated as stdev(gppNtCut_XX) / sqrt(40). SE from 40 half-hourly gppNtCut_XX
gppNtVutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Gross Primary Production, from Nighttime partitioning method, reference version selected from GPP versions using a model efficiency approach. Based on corresponding neeVut_XX version
gppNtVutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Gross Primary Production, calculated as (stdev(gppNtVut_XX) / sqrt(40)). SE from 40 half-hourly gppNtVut_XX
neeCutRefJointunc_umolCO2m2s1 REAL umolCO2 m-2 s-1 Joint uncertainty estimation for neeCutRef, including random uncertainty and USTAR filtering uncertainty [sqrt(neeCutRef_RANDUNC2 + ((NEE_CUT_84 - NEE_CUT_16) / 2)2)] for each half-hour
neeCutRef_qc INTEGER adimensional Quality flag for neeCutRef. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
neeCutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Net Ecosystem Exchange, using Constant Ustar Threshold (CUT) across years, reference selected on the basis of the model efficiency
neeVutRefJointunc_umolCO2m2s1 REAL umolCO2 m-2 s-1 Joint uncertainty estimation for neeVutRef, including random uncertainty and USTAR filtering uncertainty [sqrt(neeVutRef_RANDUNC2 + ((neeVut_84 - neeVut_16) / 2)2)] for each half-hour
neeVutRef_qc INTEGER adimensional Quality flag for neeVutRef. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
neeVutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Net Ecosystem Exchange, using Variable Ustar Threshold (VUT) for each year, reference selected on the basis of the model efficiency
recoDtCutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version
recoDtCutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Ecosystem Respiration, calculated as stdev(recoDtCut_XX) / sqrt(40). SE from 40 half-hourly recoDtCut_XX
recoDtVutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Ecosystem Respiration, from Daytime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding neeVut_XX version
recoDtVutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Ecosystem Respiration, calculated as stdev(recoDtVut_XX) / sqrt(40). SE from 40 half-hourly recoDtCut_XX
recoNtCutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding NEE_CUT_XX version
recoNtCutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Ecosystem Respiration, calculated as stdev(recoNtCut_XX) / sqrt(40. SE from 40 half-hourly recoNtCut_XX
recoNtVutRef_umolCO2m2s1 REAL umolCO2 m-2 s-1 Ecosystem Respiration, from Nighttime partitioning method, reference selected from RECO versions using a model efficiency approach. Based on corresponding neeVut_XX version
recoNtVutSe_umolCO2m2s1 REAL umolCO2 m-2 s-1 Standard Error for Ecosystem Respiration, calculated as stdev(recoNtVut_XX) / sqrt(40. SE from 40 half-hourly recoNtCut_XX
timestampEnd TEXT YYYYMMDDHHMM ISO timestamp end of averaging period - short format
timestampStart TEXT YYYYMMDDHHMM ISO timestamp start of averaging period - short format

Dataset SOILTS

The soil time series data contains half-hourly measurements of the variables listed in the table below and was obtained from FLUXNET2015 data.

Table 17: Description of SOILTS variables included in the database.
variable type units description
record_id INTEGER adimensional Record ID as decimal number
site_id INTEGER adimensional Site code as decimal number (01-99)
date TEXT adimensional Date in format YYYY-MM-DD hh:mm:ss. Derived from TIMESTAMP_START
year INTEGER YYYY Year with century as decimal number (0000-9999). Derived from TIMESTAMP_START
mo INTEGER MM Month as decimal number (01-12). Derived from TIMESTAMP_START
day INTEGER DD Day of the month as decimal number (01-31). Derived from TIMESTAMP_START
timestampEnd TEXT YYYYMMDDHHMM ISO timestamp end of averaging period - short format
timestampStart TEXT YYYYMMDDHHMM ISO timestamp start of averaging period - short format
swcFMDS1_degC REAL percent Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
swcFMDS1_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
swcFMDS2_degC REAL percent Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
swcFMDS2_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
swcFMDS3_degC REAL percent Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
swcFMDS3_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
swcFMDS4_degC REAL percent Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
swcFMDS4_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
swcFMDS5_degC REAL percent Soil water content, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
swcFMDS5_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
tsFMDS1_degC REAL degree Celsius Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
tsFMDS1_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
tsFMDS2_degC REAL degree Celsius Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
tsFMDS2_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
tsFMDS3_degC REAL degree Celsius Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
tsFMDS3_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
tsFMDS4_degC REAL degree Celsius Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
tsFMDS4_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.
tsFMDS5_degC REAL degree Celsius Soil temperature, gapfilled with MDS (numeric index “#” increases with the depth, 1 is shallowest)
tsFMDS5_qc INTEGER adimensional Quality flag for tsFMDS#. 0 = measured; 1 = good quality gapfill; 2 = medium; 3 = poor.

Dataset MODIS

The original MODIS time series are available at the NASA Land Processes Distributed Archive Center (LP DAAC). The data were downloaded from the Land Product Subset web service of the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC). Five different datasets are included in the database:

  • MODIS_MOD09A1
  • MODIS_MOD15A2
  • MODIS_MOD11A2
  • MODIS_MOD13Q1
  • MODIS_MOD17A2

The data comprise surface reflectance, land surface temperature, vegetation indexes, Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR), GPP and Net Photosynthesis. The MODIS variables are listed the table below.

Table 18: Description of MODIS variables included in the database.
variable type units description source
record_id INTEGER adimensional Record ID as decimal number MOD09A1
site TEXT adimensional Site name MOD09A1
site_id INTEGER adimensional Site code as decimal number (01-99) MOD09A1
date TEXT adimensional Date in format YYYY-MM-DD MOD09A1
year INTEGER YYYY Year with century as decimal number (0000-9999) MOD09A1
mo INTEGER MM Month as decimal number (01-12) MOD09A1
day INTEGER DD Day of the month as decimal number (01-31) MOD09A1
aB01_rad REAL radian Angle in red. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
aB02_rad REAL radian Angle in near infrared. Calculated with MOD09A1. Spatial resolution 0.5 km MOD09A1
aB05_rad REAL radian Angle in SWIR 1.Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
aB06_rad REAL radian Angle in SWIR 2. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
evi8 REAL adimensional Enhance Vegetation Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite MOD09A1
ndvi8 REAL adimensional Normalized Difference Vegetation Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite MOD09A1
ndwi REAL adimensional Normalized Difference Water Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite MOD09A1
reflB01_percent REAL percent reflectance Surface Reflectance Band 1 (620–670 nm) Red. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB02_percent REAL percent reflectance Surface Reflectance Band 2 (841–876 nm) NIR. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB03_percent REAL percent reflectance Surface Reflectance Band 3 (459–479 nm) Blue. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB04_percent REAL percent reflectance Surface Reflectance Band 4 (545–565 nm) Green. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB05_percent REAL percent reflectance Surface Reflectance Band 5 (1230–1250 nm) SWIR1. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB06_percent REAL percent reflectance Surface Reflectance Band 6 (1628–1652 nm) SWIR2. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
reflB07_percent REAL percent reflectance Surface Reflectance Band 7 (2105–2155 nm) SWIR3. Fill value: NA. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
refl_qc INTEGER adimensional Indicates the level of quality correction of the product (the seven bands) that is classified as follows: 0 = Highest quality, corrected product produced at ideal quality all bands; 2 = corrected product produced at less than ideal quality some or all bands, some bands could not be completely correct; 3 = interpolated, when corrected product has not been produced in one or some bands and they have been interpolated with the value Rt = (Rt-1 + Rt+1)/2; 4 = corrected product not produced, when product has not been completely corrected in one or some bands and could not be interpolated. Data may be wrong or filled with NA; 5 = Missing data, indicates that the product was not available for that date. Some of them correspond to specific continuous periods. All the columns filled with NA. MOD09A1
sani_rad REAL radian Shortwave Angle Normalized Index. Valid range: -3.14 - 3.14. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite. MOD09A1
sasi_rad REAL radian Shortwave Angle Slope Index. Spatial resolution: 0.5 km. Temporal resolution: 8-day composite MOD09A1
record_id INTEGER adimensional Record ID as decimal number MOD15A2
site TEXT adimensional Site name MOD15A2
site_id INTEGER adimensional Site code as decimal number (01-99) MOD15A2
date TEXT adimensional Date in format YYYY-MM-DD MOD15A2
year INTEGER YYYY Year with century as decimal number (0000-9999) MOD15A2
mo INTEGER MM Month as decimal number (01-12) MOD15A2
day INTEGER DD Day of the month as decimal number (01-31) MOD15A2
fpar REAL adimensional Proportion of available radiation in the photosynthetically active wavelengths. Valid range: 0 - 1. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. MOD15A2
fpar_qc INTEGER adimensional Indicates the level of the product quality that is classified as follows: 0 = Good quality (main algorithm with or without saturation); 2 = Other quality (back-up algorithm or fill values) MOD15A2
lai REAL adimensional Leaf area index. Valid range: 0 - 10. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. MOD15A2
lai_qc INTEGER adimensional Indicates the level of the product quality that is classified as follows: 0 = Good quality (main algorithm with or without saturation); 2 = Other quality (back-up algorithm or fill values) MOD15A2
record_id INTEGER adimensional Record ID as decimal number MOD11A2
site TEXT adimensional Site name MOD11A2
site_id INTEGER adimensional Site code as decimal number (01-99) MOD11A2
date TEXT adimensional Date in format YYYY-MM-DD MOD11A2
year INTEGER YYYY Year with century as decimal number (0000-9999) MOD11A2
mo INTEGER MM Month as decimal number (01-12) MOD11A2
day INTEGER DD Day of the month as decimal number (01-31) MOD11A2
lstDay_degK REAL degree Kelvin Daytime land surface temperature. Valid range: 150 – 1310.7. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. MOD11A2
lstDay_qc INTEGER adimensional Indicates the level of quality of the product that is classified as follows: 0 = good quality; 2 = other quality; 3 = interpolated, 4 = pixel not produced (NA) MOD11A2
lstNight_degK REAL degree Kelvin Nighttime land surface temperature. Valid range: 150 – 1310.7. Fill value: NA. Spatial resolution: 1 km. Temporal resolution: 8-day composite. MOD11A2
lstNight_qc INTEGER adimensional Indicates the level of quality of the product that is classified as follows: 0 = good quality; 2 = other quality; 3 = interpolated, 4 = pixel not produced (NA) MOD11A2
record_id INTEGER adimensional Record ID as decimal number MOD13Q1
site TEXT adimensional Site name MOD13Q1
site_id INTEGER adimensional Site code as decimal number (01-99) MOD13Q1
date TEXT adimensional Date in format YYYY-MM-DD MOD13Q1
year INTEGER YYYY Year with century as decimal number (0000-9999) MOD13Q1
mo INTEGER MM Month as decimal number (01-12) MOD13Q1
day INTEGER DD Day of the month as decimal number (01-31) MOD13Q1
evi16 REAL adimensional Enhanced Vegetation Index. Valid range: -0.2 - 1. Fill value: NA. Spatial resolution: 250 meters. Temporal resolution: 16-day composite. MOD13Q1
evi16_qc REAL adimensional Indicates the level of the product quality that is classified as follows: 0 = good quality, index produced; 2 = other quality, index produced, but check other qc and index produced, but most probably cloudy; 3 = index not produced due to other reasons than cloud, thus fill values were substituted by an interpolated values when the previous and the following values were available index = (indext-1 + indext+1)/2. MOD13Q1
ndvi16 REAL adimensional Normalized Difference Vegetation Index. Valid range: -0.2 - 1. Fill value: NA. Spatial resolution: 250 meters. Temporal resolution: 16-day composite. MOD13Q1
ndvi16_qc REAL adimensional Indicates the level of the product quality that is classified as follows: 0 = good quality, index produced; 2 = other quality, index produced, but check other qc and index produced, but most probably cloudy; 3 = index not produced due to other reasons than cloud, thus fill values were substituted by an interpolated values when the previous and the following values were available index = (indext-1 + indext+1)/2. MOD13Q1
record_id INTEGER adimensional Record ID as decimal number MOD17A2
site TEXT adimensional Site name MOD17A2
site_id INTEGER adimensional Site code as decimal number (01-99) MOD17A2
date TEXT adimensional Date in format YYYY-MM-DD MOD17A2
year INTEGER YYYY Year with century as decimal number (0000-9999) MOD17A2
mo INTEGER MM Month as decimal number (01-12) MOD17A2
day INTEGER DD Day of the month as decimal number (01-31) MOD17A2
gpp_gCm2d REAL gC m-2 d Gross Primary Production. Valid range: -375 – 375. Fill value: NA. Spatial resolution 1 km. Temporal resolution: 8-day accumulation. MOD17A2
gpp_qc INTEGER adimensional Indicates the level of the product quality that is classified as follows: 0 = good quality, the estimates were done using the main algorithm with or without saturation; 2 = other quality, the estimates were done using back-up algorithm. MOD17A2
psNet_gCm2d REAL gC m-2 d Net Photosynthesis (GPP – maintenance respiration). Valid range: -375 – 375. Fill value: NA. Spatial resolution 1 km. Temporal resolution: 8-day accumulation. MOD17A2
psNet_qc INTEGER adimensional Indicates the level of the product quality that is classified as follows: 0 = good quality, the estimates were done using the main algorithm with or without saturation; 2 = other quality, the estimates were done using back-up algorithm. MOD17A2

Site by site information

Site bily_kriz

General info

The Bily Kriz site belongs to the ICP Forests Level II network and is a Fluxnet site located in the Moravian-Silesian Beskydy Mts, Czech Republic, at an altitude of 875 m.a.s.l. The climate is temperate with an annual mean temperature of 7.4°C and an annual precipitation sum of 1434 mm over the 2000-2008 period. The soil is classified as a Haplic Podzol. The site is typical for mountain regions of temperate Europe such as the Black Forest, Bohemian Forest Sumava and forested Carpathians (Hercynian (spruce-)fir-beech forests) but also the higher mountain belts in the (sub-)mediterranean. Stand forming tree species for such sites are Fagus sylvatica, Abies alba, and Picea abies. Currently, a large part of mixed mountain forests are strongly managed for timber production. The main tree species occurring in Bily Kriz are Picea abies rarely with small proportion of Fagus sylvatica. The stand data represent an (even-aged) Picea abies monoculture with a mean DBH of 19 cm (year 2015). The potential vegetation belongs to the Geobiocoene type groups: Abieti-fageta (5AB3) - Abies alba Mill. + Fagus sylvatica L. with understory: Calamagrostis arundinacea (L.) Roth, Oxalis acetosella L., Vaccinium myrtillus L., Deschampsia flexuosa (L.) Trin. More information about the site can be found in Kratochvílová et al. (1989) and Meteorological yearbook (2012).

The following data is available for the site

Table 19: Available data for bily_kriz
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_LOCAL

Table 20: Summary of CLIMATE_LOCAL for bily_kriz. Note: The variables p_mm and rad_Jcm2day are the annual total values. Rest of variables are the mean yearly values.
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
bily_kriz 3 2000 13.53 8.537 4.102 1490 79.94 912.8 370605 2.351
bily_kriz 3 2001 12.42 7.674 3.717 1567 82.75 912.3 341851 2.475
bily_kriz 3 2002 12.98 8.296 4.418 1379 86.43 913 375278 2.199
bily_kriz 3 2003 11.09 6.162 2.35 1004 72.76 914.5 405381 1.98
bily_kriz 3 2004 12.28 7.683 3.645 1652 88.84 912.9 367440 2.254
bily_kriz 3 2005 9.31 5.93 3.032 1506 80.07 914 387422 1.945
bily_kriz 3 2006 10.4 6.878 3.872 1395 81.56 914.3 394616 2.022
bily_kriz 3 2007 10.97 7.567 4.421 1750 81.75 911.8 379212 2.067
bily_kriz 3 2008 10.54 7.485 4.652 1168 83.8 913.2 387168 2.404
bily_kriz 3 2000-2008 11.5 7.357 3.801 1435 81.99 913.2 378775 2.189
CLIMATE_ISIMIP2B
Table 21: Summary of CLIMATE_ISIMIP2B for bily_kriz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 11.54 6.931 2.223 968.3 74.29 949.9 391145 3.218
GFDLESM2M piControl 1661-2099 11.54 6.811 2.08 1041 77.09 949.7 391289 2.561
GFDLESM2M rcp2p6 2006-2099 12.9 8.31 3.577 1016 73.81 950.8 397678 3.445
GFDLESM2M rcp4p5 2006-2099 13.41 8.748 3.953 989.9 73.18 951.1 401238 3.385
GFDLESM2M rcp6p0 2006-2099 13.27 8.651 3.903 989.9 73.31 951.1 397579 3.415
GFDLESM2M rcp8p5 2006-2099 14.11 9.203 4.232 1001 73.28 951.4 397359 3.196
HadGEM2ES historical 1861-2005 11.54 6.75 1.825 949 73.46 950.2 401482 3.246
HadGEM2ES piControl 1661-2299 12.34 7.401 2.315 969.5 72.05 950 428086 3.231
HadGEM2ES rcp2p6 2006-2299 14.17 9.44 4.636 1087 72.41 950.1 426496 3.226
HadGEM2ES rcp4p5 2006-2099 15.19 10.36 5.448 1013 69.91 950.4 428361 3.228
HadGEM2ES rcp6p0 2006-2099 15.15 10.34 5.469 1020 70.03 950.5 427706 3.251
HadGEM2ES rcp8p5 2006-2099 16.52 11.6 6.636 990.1 68.09 950.7 438960 3.272
IPSLCM5ALR historical 1861-2005 10.98 6.358 1.602 1027 75.86 949.5 397737 3.26
IPSLCM5ALR piControl 1661-2299 10.43 5.751 0.894 1056 76.62 949.3 414643 3.112
IPSLCM5ALR rcp2p6 2006-2299 13.35 8.822 4.222 1098 73.86 949.8 421470 3.215
IPSLCM5ALR rcp4p5 2006-2299 14.96 10.31 5.649 1047 72.04 950.6 426964 3.063
IPSLCM5ALR rcp6p0 2006-2099 13.97 9.406 4.783 1044 72.55 950.2 420093 3.148
IPSLCM5ALR rcp8p5 2006-2299 20.89 16.1 11.29 939.5 66.13 951 435454 3.02
MIROC5 historical 1861-2005 11.53 6.839 1.974 966.6 73.72 950.1 398037 3.298
MIROC5 piControl 1661-2299 12.98 7.79 2.546 1000 71.12 949.7 453618 3.09
MIROC5 rcp2p6 2006-2299 14.39 9.212 3.955 1032 69.67 950.7 459553 3.365
MIROC5 rcp4p5 2006-2099 14.76 9.597 4.44 1072 70.75 950.7 442918 3.085
MIROC5 rcp6p0 2006-2099 14.55 9.413 4.238 1069 70.59 950.6 445612 3.168
MIROC5 rcp8p5 2006-2099 15.82 10.56 5.287 1068 69.55 951.1 454293 3.135
CLIMATE_ISIMIP2BLBC
Table 22: Summary of CLIMATE_ISIMIP2BLBC for bily_kriz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 10.93 6.768 3.223 1327 80.79 913.5 382227 2.181
GFDLESM2M piControl 1661-2099 10.92 6.65 3.098 1426 82.93 913.4 382337 1.74
GFDLESM2M rcp2p6 2006-2099 12.27 8.145 4.577 1391 80.31 914.2 388480 2.337
GFDLESM2M rcp4p5 2006-2099 12.78 8.582 4.97 1347 79.73 914.4 391175 2.299
GFDLESM2M rcp6p0 2006-2099 12.64 8.489 4.912 1346 79.83 914.4 387741 2.318
GFDLESM2M rcp8p5 2006-2099 13.46 9.042 5.306 1356 79.71 914.6 387804 2.172
HadGEM2ES historical 1861-2005 10.42 6.163 2.5 1528 81.87 914 379761 2.211
HadGEM2ES piControl 1661-2299 11.21 6.813 3.035 1554 80.83 913.6 400913 2.198
HadGEM2ES rcp2p6 2006-2299 13.06 8.852 5.294 1730 81.19 913.2 398584 2.203
HadGEM2ES rcp4p5 2006-2099 14.06 9.767 6.14 1566 78.74 913.3 401353 2.207
HadGEM2ES rcp6p0 2006-2099 14.03 9.756 6.152 1599 78.8 913.4 400592 2.223
HadGEM2ES rcp8p5 2006-2099 15.38 11.01 7.342 1523 76.64 913.4 412375 2.238
IPSLCM5ALR historical 1861-2005 10.39 6.13 2.473 1374 83.12 913.8 390576 2.215
IPSLCM5ALR piControl 1661-2299 9.834 5.522 1.785 1418 83.63 913.7 404397 2.114
IPSLCM5ALR rcp2p6 2006-2299 12.76 8.592 5.075 1470 81.46 913.4 409411 2.186
IPSLCM5ALR rcp4p5 2006-2299 14.35 10.08 6.52 1399 79.61 913.9 413982 2.083
IPSLCM5ALR rcp6p0 2006-2099 13.37 9.179 5.647 1392 80.15 913.7 407645 2.143
IPSLCM5ALR rcp8p5 2006-2299 20.29 15.88 12.19 1230 72.9 913.1 421215 2.066
MIROC5 historical 1861-2005 10.57 6.462 2.874 1318 80.92 913.9 375332 2.333
MIROC5 piControl 1661-2299 11.95 7.413 3.546 1361 78.32 913.2 426218 2.188
MIROC5 rcp2p6 2006-2299 13.36 8.835 4.957 1407 76.77 913.9 432601 2.38
MIROC5 rcp4p5 2006-2099 13.73 9.219 5.417 1459 77.95 913.8 416265 2.189
MIROC5 rcp6p0 2006-2099 13.53 9.036 5.219 1458 77.78 913.7 418812 2.247
MIROC5 rcp8p5 2006-2099 14.79 10.19 6.293 1457 76.64 914 427219 2.223
CLIMATE_ISIMIP2A
Table 23: Summary of CLIMATE_ISIMIP2A for bily_kriz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 11.4 6.629 2.216 989 78.95 957.2 392392 3.68
PRINCETON 1901-2012 11.22 6.664 2.041 1008 85.34 959.2 405423 3.086
WATCH 1901-2001 11.42 6.794 2.09 1022 76.38 948.6 332569 2.055
WFDEI 1901-2010 11.47 6.83 2.107 1024 76.72 949 361220 2.406
CLIMATE_ISIMIPFT
Table 24: Summary of CLIMATE_ISIMIPFT for bily_kriz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 11.67 7.073 2.415 1008 82.1 948.4 322974 2.051
GFDLESM2M rcp2p6 2006-2099 12.86 8.263 3.571 1044 81.78 949.2 331432 2.166
GFDLESM2M rcp4p5 2006-2099 13.37 8.691 3.934 1015 81.21 949.5 332323 2.132
GFDLESM2M rcp6p0 2006-2099 13.23 8.6 3.885 1021 81.37 949.5 331107 2.141
GFDLESM2M rcp8p5 2006-2099 14.06 9.162 4.25 1022 81.04 949.7 331276 2.036
HadGEM2ES historical 1950-2004 11.41 6.813 2.161 1032 78.28 948.5 322696 2.036
HadGEM2ES rcp2p6 2005-2099 14.7 9.762 4.83 1010 73.8 948.5 348081 2.015
HadGEM2ES rcp4p5 2005-2099 15.36 10.41 5.479 1004 72.99 948.7 345896 2.004
HadGEM2ES rcp6p0 2005-2099 15.3 10.38 5.492 1015 73.12 948.7 346140 2.025
HadGEM2ES rcp8p5 2005-2099 16.66 11.62 6.635 994.8 71.33 948.9 351791 2.038
IPSLCM5ALR historical 1950-2005 11.66 7.096 2.48 1016 79.68 948.5 320967 2.061
IPSLCM5ALR rcp2p6 2006-2099 13.78 9.267 4.737 1095 77.91 948.5 335728 2.002
IPSLCM5ALR rcp4p5 2006-2099 14.21 9.67 5.153 1063 77.22 948.9 334196 1.962
IPSLCM5ALR rcp6p0 2006-2099 14.23 9.726 5.22 1068 77.07 948.7 332725 1.989
IPSLCM5ALR rcp8p5 2006-2099 15.48 10.86 6.245 1039 75.77 949.1 338151 1.963
MIROCESMCHEM historical 1950-2005 11.63 7.018 2.354 1032 87.44 948.3 327998 2.004
MIROCESMCHEM rcp2p6 2006-2099 14.31 9.479 4.709 1086 87.92 948.9 369878 1.319
MIROCESMCHEM rcp4p5 2006-2099 14.47 9.637 4.888 1093 88.02 949.3 364160 1.376
MIROCESMCHEM rcp6p0 2006-2099 14.58 9.762 5.037 1134 88.13 948.9 366079 1.253
MIROCESMCHEM rcp8p5 2006-2099 15.56 10.73 5.999 1114 88.09 949.5 371399 1.19
NorESM1M historical 1950-2005 11.56 6.979 2.324 998.7 78.83 948.5 321467 2.05
NorESM1M rcp2p6 2006-2099 13.35 8.901 4.277 1032 74.59 948.7 345135 2.159
NorESM1M rcp4p5 2006-2099 13.95 9.362 4.627 1011 73.74 948.8 348312 2.112
NorESM1M rcp6p0 2006-2099 13.97 9.311 4.521 1024 74.22 948.9 346791 2.101
NorESM1M rcp8p5 2006-2099 14.76 9.636 4.513 1044 74.85 949.1 349510 2.03
METEOROLOGICAL

FLUX

ATMOSPHERICHEATCONDUCTION

SOILTS

NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site collelongo

General info

The experimental site of Collelongo is located in Selva Piana, a pure Fagus sylvatica forest in Collelongo (AQ, central Italy) at 1560 m.a.s.l. Located 100 km from Rome, it is one of the first Italian sites of the ICP network and also part of the ILTER international network. The climate is Mediterranean montane, with a mean annual temperature of 7.2°C and a mean annual precipitation of 1179 mm in the period 1996-2014. Bedrock consists of cretaceous limestone. Soil depth exhibits high spatial variability ranging from 40 to 100 cm and is classified as a Humic Alisol (Chiti et al. 2010) or Dystric Luvisol according to the FAO classification. The stand is a typical Apennine beech forests dominated by Fagus sylvatica with sporadic trees of Taxus baccata. The phytosociological association is Polysticho – Fagetum (Feoli & Lagonegro 1982). Currently, Collelongo constitutes a managed Fagus sylvatica stand with mean DBH of 25 cm in 2012. In the area around the eddy-flux tower there are only Fagus sylvatica trees. Moreover the footprint of the tower is totally included in the Fagus sylvatica forest. More information about the site can be found in Chiti et al. (2010) and Collalti et al. (2016).

The following data is available for the site

Table 25: Available data for collelongo
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_LOCAL

Table 26: Summary of CLIMATE_LOCAL for collelongo. Note: The variables p_mm and rad_Jcm2day are the annual total values. Rest of variables are the mean yearly values.
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
collelongo 5 1996 9.127 5.269 1.599 1530 71.76 848.4 509716 1.714
collelongo 5 1997 11.1 6.649 2.581 1139 61.76 850.6 477648 1.775
collelongo 5 1998 10.8 6.659 2.659 1238 72.92 850.4 528816 1.66
collelongo 5 1999 12.39 7.946 4.035 1380 73.91 849.5 531835 1.585
collelongo 5 2000 13.4 8.631 4.541 858.1 71.04 850.9 532023 1.675
collelongo 5 2001 12.2 7.962 4.281 778.3 71.54 849.6 525700 1.711
collelongo 5 2002 11.37 7.616 4.31 1270 75.22 849.8 509202 1.644
collelongo 5 2003 12.37 8.175 4.317 1619 73.27 850.2 555206 1.596
collelongo 5 2004 11.64 7.279 3.466 1433 77.06 849.5 529835 1.619
collelongo 5 2005 10.9 6.665 2.965 942 80.23 849.4 546290 1.676
collelongo 5 2006 11.71 6.976 3.349 849.9 74.31 851 566697 1.68
collelongo 5 2007 11.07 7.309 3.76 795.4 74.13 849.7 577579 1.897
collelongo 5 2008 10.89 7.079 3.506 1194 76.55 849.9 550287 1.913
collelongo 5 2009 11.32 7.079 3.184 1213 77.25 848 557654 1.875
collelongo 5 2010 10.43 6.581 2.993 1458 75.77 846.9 519445 1.734
collelongo 5 2011 11.83 7.234 3.166 1089 73.92 850.9 595274 1.775
collelongo 5 2012 11.93 7.639 3.709 1013 71.18 849.8 594830 1.863
collelongo 5 2013 11.46 7.151 3.354 1348 76.63 848.9 543276 1.765
collelongo 5 2014 11.83 7.576 3.982 1244 78.07 849 544565 1.782
collelongo 5 1996-2014 11.46 7.236 3.461 1179 74.03 849.6 541888 1.734
CLIMATE_ISIMIP2B
Table 27: Summary of CLIMATE_ISIMIP2B for collelongo. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 19.63 14.46 9.623 939.7 73.42 903.2 528987 2.404
GFDLESM2M piControl 1661-2099 19.92 14.39 9.317 969.4 74.37 902.9 534672 2.176
GFDLESM2M rcp2p6 2006-2099 21.2 15.71 10.58 838.6 72.23 904.7 541528 2.316
GFDLESM2M rcp4p5 2006-2099 21.56 16.04 10.9 838.7 72.02 904.9 539131 2.304
GFDLESM2M rcp6p0 2006-2099 21.39 15.98 10.91 829.4 72.01 904.8 539860 2.419
GFDLESM2M rcp8p5 2006-2099 22.09 16.61 11.46 802.5 71.32 905.3 546984 2.45
HadGEM2ES historical 1861-2005 19.91 14.6 9.618 903.3 73.12 903.6 542772 2.485
HadGEM2ES piControl 1661-2299 20.42 15.02 9.952 933.9 72.78 903.4 564115 2.477
HadGEM2ES rcp2p6 2006-2299 22.04 16.68 11.73 992.4 72.94 903.9 564132 2.328
HadGEM2ES rcp4p5 2006-2099 22.71 17.28 12.27 901.1 72.18 904.3 563118 2.317
HadGEM2ES rcp6p0 2006-2099 22.63 17.25 12.29 939.7 72.48 904.3 558364 2.312
HadGEM2ES rcp8p5 2006-2099 23.68 18.19 13.15 858.9 71.67 904.6 569736 2.303
IPSLCM5ALR historical 1861-2005 19.09 13.95 9.147 1078 74.75 902.6 528342 2.411
IPSLCM5ALR piControl 1661-2299 18.5 13.42 8.635 1159 75.29 902 537358 2.404
IPSLCM5ALR rcp2p6 2006-2299 21.32 16.14 11.31 1062 73.66 903.5 558695 2.376
IPSLCM5ALR rcp4p5 2006-2299 22.92 17.61 12.68 933.9 72.26 904.6 564999 2.331
IPSLCM5ALR rcp6p0 2006-2099 21.96 16.73 11.86 945.9 72.64 904 558339 2.36
IPSLCM5ALR rcp8p5 2006-2299 28.48 23.09 18.22 784.9 68.6 906 577565 2.178
MIROC5 historical 1861-2005 20.18 14.8 9.82 940.9 73.15 903.4 540222 2.392
MIROC5 piControl 1661-2299 20.85 15.27 10.21 1006 73.27 903 562452 2.291
MIROC5 rcp2p6 2006-2299 22.24 16.59 11.4 931.5 71.86 904.4 572035 2.334
MIROC5 rcp4p5 2006-2099 22.6 16.93 11.7 914.5 71.29 904.6 569318 2.366
MIROC5 rcp6p0 2006-2099 22.34 16.76 11.6 928.2 71.9 904.4 565042 2.363
MIROC5 rcp8p5 2006-2099 23.64 17.81 12.5 868.7 70.77 905 572539 2.263
CLIMATE_ISIMIP2BLBC
Table 28: Summary of CLIMATE_ISIMIP2BLBC for collelongo. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 10.41 6.349 2.691 1245 74.27 849.2 530737 1.74
GFDLESM2M piControl 1661-2099 10.64 6.274 2.428 1288 75.17 849 536749 1.575
GFDLESM2M rcp2p6 2006-2099 11.91 7.597 3.714 1116 73.14 850.4 543330 1.676
GFDLESM2M rcp4p5 2006-2099 12.27 7.922 4.036 1114 72.93 850.5 540908 1.667
GFDLESM2M rcp6p0 2006-2099 12.11 7.867 4.037 1106 72.88 850.5 541886 1.75
GFDLESM2M rcp8p5 2006-2099 12.79 8.498 4.606 1063 72.19 850.7 548934 1.771
HadGEM2ES historical 1861-2005 10.58 6.369 2.567 1140 73.69 850.2 549946 1.818
HadGEM2ES piControl 1661-2299 11.07 6.79 2.921 1176 73.35 849.8 571445 1.813
HadGEM2ES rcp2p6 2006-2299 12.7 8.453 4.672 1247 73.5 849.6 571942 1.703
HadGEM2ES rcp4p5 2006-2099 13.36 9.049 5.221 1135 72.73 849.8 571337 1.695
HadGEM2ES rcp6p0 2006-2099 13.29 9.022 5.234 1181 73.04 849.8 566045 1.69
HadGEM2ES rcp8p5 2006-2099 14.31 9.965 6.112 1080 72.21 849.8 578996 1.685
IPSLCM5ALR historical 1861-2005 9.972 5.848 2.151 1390 75.53 849.1 533516 1.725
IPSLCM5ALR piControl 1661-2299 9.391 5.316 1.636 1497 76.01 848.7 540143 1.72
IPSLCM5ALR rcp2p6 2006-2299 12.19 8.036 4.318 1367 74.47 849.2 562633 1.7
IPSLCM5ALR rcp4p5 2006-2299 13.76 9.502 5.706 1194 73.08 849.9 568882 1.666
IPSLCM5ALR rcp6p0 2006-2099 12.82 8.62 4.872 1203 73.46 849.6 562859 1.686
IPSLCM5ALR rcp8p5 2006-2299 19.32 14.99 11.23 992.9 69.26 849.3 586314 1.555
MIROC5 historical 1861-2005 10.9 6.667 2.878 1186 73.7 849.8 542661 1.735
MIROC5 piControl 1661-2299 11.52 7.137 3.286 1268 73.83 849.2 565662 1.662
MIROC5 rcp2p6 2006-2299 12.9 8.463 4.506 1179 72.39 850.1 577369 1.694
MIROC5 rcp4p5 2006-2099 13.26 8.804 4.82 1157 71.8 850.2 574310 1.718
MIROC5 rcp6p0 2006-2099 13.01 8.626 4.695 1175 72.44 850.1 569387 1.715
MIROC5 rcp8p5 2006-2099 14.27 9.682 5.631 1097 71.26 850.3 578512 1.645
CLIMATE_ISIMIP2A
Table 29: Summary of CLIMATE_ISIMIP2A for collelongo. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 20.16 14.55 9.827 995.9 70.32 903.5 526367 3.852
PRINCETON 1901-2012 19.74 14.58 9.411 778 76.24 944.3 534651 4.393
WATCH 1901-2001 19.87 14.56 9.568 989.4 70.12 897 472481 1.919
WFDEI 1901-2010 19.88 14.59 9.634 986.1 71.9 898.9 494874 2.047
CLIMATE_ISIMIPFT
Table 30: Summary of CLIMATE_ISIMIPFT for collelongo. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 20.16 14.84 9.844 976.9 72.88 896.7 472623 1.914
GFDLESM2M rcp2p6 2006-2099 21.57 15.92 10.6 894.8 71.67 897.7 486693 1.829
GFDLESM2M rcp4p5 2006-2099 21.93 16.25 10.92 889.9 71.41 897.9 484897 1.822
GFDLESM2M rcp6p0 2006-2099 21.76 16.2 10.94 881.4 71.42 897.8 485254 1.9
GFDLESM2M rcp8p5 2006-2099 22.47 16.82 11.47 856 70.8 898 489746 1.923
HadGEM2ES historical 1950-2004 20.03 14.7 9.696 1002 72.43 896.7 472700 1.915
HadGEM2ES rcp2p6 2005-2099 22.49 16.9 11.72 1063 71.55 896.5 490280 1.822
HadGEM2ES rcp4p5 2005-2099 23.08 17.43 12.21 1015 70.81 896.7 489750 1.8
HadGEM2ES rcp6p0 2005-2099 23 17.4 12.24 1040 71.16 896.7 488396 1.799
HadGEM2ES rcp8p5 2005-2099 24.13 18.41 13.15 972.3 69.97 896.8 493380 1.792
IPSLCM5ALR historical 1950-2005 20.1 14.78 9.786 998.1 74.12 896.8 470635 1.926
IPSLCM5ALR rcp2p6 2006-2099 21.95 16.58 11.53 999 73.16 896.8 485543 1.892
IPSLCM5ALR rcp4p5 2006-2099 22.47 17.05 11.95 915.9 72.4 897.3 486528 1.875
IPSLCM5ALR rcp6p0 2006-2099 22.43 17.07 12.04 934.7 72.53 897.1 483264 1.88
IPSLCM5ALR rcp8p5 2006-2099 23.68 18.21 13.08 867.5 71.61 897.4 487829 1.854
MIROCESMCHEM historical 1950-2005 20.14 14.79 9.785 991.2 84.32 896.6 474868 1.932
MIROCESMCHEM rcp2p6 2006-2099 22.61 17.07 11.94 986.1 82.98 897.2 510021 1.918
MIROCESMCHEM rcp4p5 2006-2099 22.8 17.23 12.08 970.5 82.95 897.4 507108 1.886
MIROCESMCHEM rcp6p0 2006-2099 22.82 17.26 12.11 1004 82.98 897.2 505843 1.902
MIROCESMCHEM rcp8p5 2006-2099 23.82 18.22 13.04 930.7 82.67 897.6 510500 1.869
NorESM1M historical 1950-2005 20.02 14.72 9.738 1003 72.37 896.6 470121 1.91
NorESM1M rcp2p6 2006-2099 21.61 16.13 10.99 1012 71.07 896.7 485516 1.881
NorESM1M rcp4p5 2006-2099 22.09 16.59 11.41 988.2 70.27 896.8 488845 1.886
NorESM1M rcp6p0 2006-2099 22.05 16.58 11.44 975.3 70.47 896.9 486925 1.895
NorESM1M rcp8p5 2006-2099 22.78 17.37 12.27 939.6 69.48 897 492603 1.907
METEOROLOGICAL

FLUX

ATMOSPHERICHEATCONDUCTION

SOILTS

NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site hyytiala

General info

The most northern site included in the PROFOUND DB is the ICP Forests Level II site Hyytiälä, Finland. It is also a Fluxnet site and the coldest site with an annual temperature of 4.4°C and 604 mm annual precipitation during the 1996-2014 period and lies at 185 m.a.s.l. The soil is classified as a Haplic Podzol. Picea abies is the naturally dominant tree species building Fennoscandian moss-rich spruce forests with Pinus sylvestris. A Pinus sylvestris stand was sown in 1962, today with admixtures of Picea abies and hardwood species (Betula pendula, Betula pubescens and Populus tremula). Mean DBH were 17 cm for P. sylvestris, 5 cm for P. abies and 7 cm for hardwood species in the year 2008. More information about the site can be found in Haataja & Vesala (1997), Rannik et al. (2004), Vesala et al. (2005), Ilvesniemi et al. (2009), Mammarella et al. (2009) and Ilvesniemi et al. (2010).

The following data is available for the site

Table 31: Available data for hyytiala
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_LOCAL

Table 32: Summary of CLIMATE_LOCAL for hyytiala. Note: The variables p_mm and rad_Jcm2day are the annual total values. Rest of variables are the mean yearly values.
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
hyytiala 12 1996 6.396 3.398 0.321 482.8 78.41 996.1 287858 2.955
hyytiala 12 1997 7.269 4.275 0.982 474.9 72.77 991.9 342174 3.668
hyytiala 12 1998 6.424 3.438 0.28 614.7 79.84 991 316550 3.67
hyytiala 12 1999 7.461 4.333 0.991 459.4 77.7 991.2 333417 3.609
hyytiala 12 2000 8.23 5.306 2.198 659.6 79.81 990.8 316564 3.76
hyytiala 12 2001 6.814 3.869 0.719 607.8 79.45 991.7 298774 3.551
hyytiala 12 2002 7.564 4.366 0.875 328.5 75.26 991.9 334385 3.421
hyytiala 12 2003 7.481 4.233 0.936 482 78.33 990.6 301400 3.58
hyytiala 12 2004 7.271 4.225 0.957 513.7 76.98 988 298808 3.195
hyytiala 12 2005 7.839 4.712 1.399 668 77.21 990.3 331805 3.52
hyytiala 12 2006 8.091 4.983 1.56 504.5 76.39 991 354639 3.518
hyytiala 12 2007 7.88 4.902 1.694 537.8 79.23 988.1 300545 3.47
hyytiala 12 2008 7.854 5.105 2.205 893.7 80.61 988.6 269888 3.468
hyytiala 12 2009 7.085 4.045 0.876 573.1 79.03 991.4 299100 3.117
hyytiala 12 2010 5.899 2.735 -0.703 717.4 76.53 991.8 297073 3.093
hyytiala 12 2011 8.398 5.319 2.147 773.2 78.25 990.6 301700 3.395
hyytiala 12 2012 6.115 3.301 0.285 920.2 82.08 990.9 287373 3.248
hyytiala 12 2013 8.179 5.088 1.788 627 76.36 991.2 311700 3.493
hyytiala 12 2014 8.339 5.216 1.872 638 76.73 993.5 299194 3.283
hyytiala 12 1996-2014 7.399 4.36 1.125 604 77.94 991.1 309629 3.422
CLIMATE_ISIMIP2B
Table 33: Summary of CLIMATE_ISIMIP2B for hyytiala. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 7.613 3.59 -0.718 692.4 81.31 993.2 350370 2.085
GFDLESM2M piControl 1661-2099 7.575 3.425 -1.045 716.9 82.02 993.3 351460 1.909
GFDLESM2M rcp2p6 2006-2099 8.997 5.646 2.134 767.4 80.4 992.4 359423 2.537
GFDLESM2M rcp4p5 2006-2099 9.4 6.081 2.614 777.5 80.82 992.5 352709 2.445
GFDLESM2M rcp6p0 2006-2099 9.366 6.023 2.515 748.4 80.16 992.9 360065 2.729
GFDLESM2M rcp8p5 2006-2099 9.855 6.523 3.028 779.5 80.61 992.5 351621 2.826
HadGEM2ES historical 1861-2005 7.197 3.184 -1.12 670.4 80.55 993.7 352960 2.166
HadGEM2ES piControl 1661-2299 7.499 3.429 -0.921 684.4 80.36 993.8 361139 2.13
HadGEM2ES rcp2p6 2006-2299 9.764 5.987 1.994 741 79.91 993.6 364275 2.037
HadGEM2ES rcp4p5 2006-2099 10.81 7.034 3.083 738.3 78.37 993.3 363675 2.047
HadGEM2ES rcp6p0 2006-2099 10.71 6.921 2.944 735.2 78.69 993.6 363963 2.062
HadGEM2ES rcp8p5 2006-2099 11.88 8.077 4.138 735.6 77.46 993.6 366764 2.036
IPSLCM5ALR historical 1861-2005 6.926 2.885 -1.43 651.6 80.81 994.2 360964 2.141
IPSLCM5ALR piControl 1661-2299 6.222 2.078 -2.352 610.1 80.97 994.9 370371 2.118
IPSLCM5ALR rcp2p6 2006-2299 10.14 6.313 2.291 712.2 78.66 993.6 376308 2.14
IPSLCM5ALR rcp4p5 2006-2299 12.11 8.364 4.491 765.7 77.44 993.4 379161 2.122
IPSLCM5ALR rcp6p0 2006-2099 10.86 7.08 3.134 719.2 77.99 993.5 373794 2.149
IPSLCM5ALR rcp8p5 2006-2299 17.3 13.68 10.03 931 74.79 991.9 382772 2.096
MIROC5 historical 1861-2005 7.406 3.369 -0.939 700.3 80.36 993.7 355475 2.128
MIROC5 piControl 1661-2299 7.961 3.714 -0.787 696.5 78.74 993.5 376342 2.088
MIROC5 rcp2p6 2006-2299 9.8 5.735 1.5 748.7 77.82 993.7 375667 2.136
MIROC5 rcp4p5 2006-2099 10.5 6.482 2.312 747.5 77.14 993.5 372153 2.151
MIROC5 rcp6p0 2006-2099 10.2 6.206 2.057 765.3 77.92 993.5 369725 2.139
MIROC5 rcp8p5 2006-2099 11.67 7.631 3.497 748.5 76.29 993.7 375778 2.061
CLIMATE_ISIMIP2BLBC
Table 34: Summary of CLIMATE_ISIMIP2BLBC for hyytiala. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 6.997 3.92 0.626 608 80.02 990.7 305455 3.301
GFDLESM2M piControl 1661-2099 6.929 3.756 0.34 636.1 80.79 990.7 306373 3.023
GFDLESM2M rcp2p6 2006-2099 8.538 5.976 3.297 670.9 79.07 989.7 313714 4.02
GFDLESM2M rcp4p5 2006-2099 8.95 6.412 3.77 679.1 79.52 989.7 307819 3.874
GFDLESM2M rcp6p0 2006-2099 8.911 6.354 3.68 652.6 78.83 990.2 315303 4.323
GFDLESM2M rcp8p5 2006-2099 9.402 6.853 4.187 676.8 79.28 989.8 306825 4.477
HadGEM2ES historical 1861-2005 6.051 2.944 -0.417 561.8 79.37 991.8 305875 3.469
HadGEM2ES piControl 1661-2299 6.341 3.189 -0.209 578.6 79.11 991.8 314005 3.41
HadGEM2ES rcp2p6 2006-2299 8.672 5.747 2.634 624.4 78.56 991.5 317798 3.261
HadGEM2ES rcp4p5 2006-2099 9.721 6.794 3.718 612.7 76.92 991.1 317878 3.278
HadGEM2ES rcp6p0 2006-2099 9.619 6.681 3.583 611.4 77.3 991.5 318136 3.302
HadGEM2ES rcp8p5 2006-2099 10.78 7.837 4.772 608.4 75.98 991.3 321198 3.26
IPSLCM5ALR historical 1861-2005 5.908 2.778 -0.599 580 79.55 992 312060 3.446
IPSLCM5ALR piControl 1661-2299 5.181 1.971 -1.5 541.3 79.81 992.7 320743 3.409
IPSLCM5ALR rcp2p6 2006-2299 9.176 6.206 3.075 634.3 76.93 991.2 326784 3.445
IPSLCM5ALR rcp4p5 2006-2299 11.16 8.257 5.25 681.8 75.75 990.9 330909 3.416
IPSLCM5ALR rcp6p0 2006-2099 9.901 6.974 3.904 636.4 76.27 991 325232 3.46
IPSLCM5ALR rcp8p5 2006-2299 16.38 13.57 10.74 817.4 73.17 989.1 337623 3.374
MIROC5 historical 1861-2005 5.952 2.856 -0.472 603.3 79.37 991.8 302579 3.444
MIROC5 piControl 1661-2299 6.459 3.201 -0.275 599.3 77.73 991.6 321461 3.38
MIROC5 rcp2p6 2006-2299 8.342 5.223 1.963 644.5 76.73 991.6 320906 3.455
MIROC5 rcp4p5 2006-2099 9.054 5.969 2.76 641.6 76.12 991.4 317513 3.479
MIROC5 rcp6p0 2006-2099 8.755 5.692 2.499 661.4 76.83 991.4 315470 3.458
MIROC5 rcp8p5 2006-2099 10.21 7.118 3.944 641.4 75.24 991.6 321647 3.334
CLIMATE_ISIMIP2A
Table 35: Summary of CLIMATE_ISIMIP2A for hyytiala. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 7.404 3.411 -0.796 694.6 84.61 998 350401 3.476
PRINCETON 1901-2012 7.235 3.438 -0.968 540.5 85.91 1008 326425 3.513
WATCH 1901-2001 7.148 3.067 -0.856 667.9 82.01 994.1 284340 2.404
WFDEI 1901-2010 7.226 3.189 -0.796 667.3 81.28 994 297054 2.337
CLIMATE_ISIMIPFT
Table 36: Summary of CLIMATE_ISIMIPFT for hyytiala. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 7.357 3.164 -0.889 680.3 88.6 994.2 283301 2.386
GFDLESM2M rcp2p6 2006-2099 8.613 5.062 1.686 749.3 87.85 993.3 291310 2.877
GFDLESM2M rcp4p5 2006-2099 9.016 5.508 2.178 759.4 88.17 993.4 285794 2.747
GFDLESM2M rcp6p0 2006-2099 8.981 5.442 2.07 731.8 87.62 993.8 292444 3.037
GFDLESM2M rcp8p5 2006-2099 9.472 5.962 2.622 762.2 88.04 993.4 284917 3.15
HadGEM2ES historical 1950-2004 7.374 3.181 -0.854 671.1 82.68 994.2 281120 2.392
HadGEM2ES rcp2p6 2005-2099 9.715 5.623 1.744 696 81.33 994.4 290975 2.303
HadGEM2ES rcp4p5 2005-2099 10.59 6.552 2.739 714.2 80.5 994.1 290974 2.308
HadGEM2ES rcp6p0 2005-2099 10.51 6.456 2.624 706.2 80.75 994.4 291447 2.32
HadGEM2ES rcp8p5 2005-2099 11.65 7.593 3.794 712.6 79.58 994.3 293028 2.298
IPSLCM5ALR historical 1950-2005 7.54 3.367 -0.651 685 84.39 993.9 279859 2.407
IPSLCM5ALR rcp2p6 2006-2099 10.51 6.49 2.643 745.2 82.58 993.5 291522 2.429
IPSLCM5ALR rcp4p5 2006-2099 11.26 7.289 3.503 751.9 81.93 993.6 293278 2.422
IPSLCM5ALR rcp6p0 2006-2099 11.16 7.222 3.467 738.4 81.86 993.6 290916 2.431
IPSLCM5ALR rcp8p5 2006-2099 12.52 8.619 4.926 788.3 80.84 993.4 295375 2.416
MIROCESMCHEM historical 1950-2005 7.28 3.077 -0.952 680.9 90.17 993.8 286055 2.45
MIROCESMCHEM rcp2p6 2006-2099 10.84 6.712 2.87 777.7 88.45 993.3 301850 2.278
MIROCESMCHEM rcp4p5 2006-2099 11.41 7.328 3.562 797 88.42 993.4 298065 2.182
MIROCESMCHEM rcp6p0 2006-2099 11.44 7.372 3.61 783.1 88.37 993.2 298949 2.146
MIROCESMCHEM rcp8p5 2006-2099 12.65 8.561 4.798 813.7 88.04 993.3 300516 2.105
NorESM1M historical 1950-2005 7.511 3.354 -0.65 681.5 80.69 994.1 279727 2.399
NorESM1M rcp2p6 2006-2099 9.275 5.115 1.114 709.3 79.27 994.1 291195 2.41
NorESM1M rcp4p5 2006-2099 9.867 5.713 1.718 721.9 78.92 993.9 290569 2.392
NorESM1M rcp6p0 2006-2099 9.818 5.747 1.828 701.5 78.48 993.6 292257 2.551
NorESM1M rcp8p5 2006-2099 10.61 6.535 2.624 715.6 77.73 994 293543 2.585
METEOROLOGICAL

FLUX

ATMOSPHERICHEATCONDUCTION

SOILTS

NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site kroof

General info

The KROOF forest belongs to the “Kranzberg Forest Roof Experiment” of the Technical University Munich (TUM) and the Helmholtz-Zentrum Munich. The site is located close to Freising, Germany, in the Kranzberger Forst in 502 m.a.s.l (wc-alt.). Mean annual temperature is around 8.2°C, annual rainfall around 849 mm during the period 1998-2010. The soil type, Luvisol, is typical for the region. The potential natural vegetation is (sessile oak-) beech forest (Fagus sylvatica, Quercus petraea, Quercus robur). The establishment of the research plot dates back to 1992. The mixed stand comprises large groups of Fagus sylvatica surrounded by Picea abies with mean DBH of 26 cm and 33 cm in 2010, respectively. Other occurring species are Acer platanoides (20 cm), Pinus sylvestris (31 cm), Larix decidua (26 cm) and Quercus robur (29 cm). More information about the site can be found in Pretzsch et al. (1998; 2014) and Matyssek et al. (2014).

The following data is available for the site

Table 37: Available data for kroof
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_ISIMIP2B
Table 38: Summary of CLIMATE_ISIMIP2B for kroof. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 13.5 8.906 4.663 972.9 77.16 954.2 409921 2.383
GFDLESM2M piControl 1661-2099 13.51 8.893 4.673 1005 78.11 954 411105 2.065
GFDLESM2M rcp2p6 2006-2099 14.74 10.02 5.61 993.9 77.13 955.3 414355 2.602
GFDLESM2M rcp4p5 2006-2099 15.16 10.37 5.902 960.9 76.69 955.6 418265 2.614
GFDLESM2M rcp6p0 2006-2099 15.15 10.35 5.922 977.8 77.04 955.6 416933 2.544
GFDLESM2M rcp8p5 2006-2099 15.94 10.95 6.421 948.4 75.75 955.9 418171 2.362
HadGEM2ES historical 1861-2005 13.36 8.639 4.234 939.5 76.84 954.6 417311 2.638
HadGEM2ES piControl 1661-2299 13.75 8.973 4.515 972.6 76.66 954.3 433553 2.621
HadGEM2ES rcp2p6 2006-2299 15.61 11.01 6.77 1038 76.36 954.3 437596 2.481
HadGEM2ES rcp4p5 2006-2099 16.7 11.91 7.543 979.3 73.98 954.8 445398 2.475
HadGEM2ES rcp6p0 2006-2099 16.56 11.81 7.463 971.1 74.34 954.8 444319 2.522
HadGEM2ES rcp8p5 2006-2099 17.85 12.98 8.567 967.6 72.71 955 452306 2.528
IPSLCM5ALR historical 1861-2005 13.01 8.328 3.966 936.8 77.89 953.7 414536 2.614
IPSLCM5ALR piControl 1661-2299 12.5 7.746 3.279 936 78.4 953.4 430472 2.613
IPSLCM5ALR rcp2p6 2006-2299 15.23 10.64 6.407 1034 75.75 954 434514 2.526
IPSLCM5ALR rcp4p5 2006-2299 16.76 12.07 7.77 1024 74 954.8 441644 2.388
IPSLCM5ALR rcp6p0 2006-2099 15.77 11.15 6.896 1003 74.6 954.4 434018 2.555
IPSLCM5ALR rcp8p5 2006-2299 22.54 17.59 13.02 994.3 68.29 954.9 460244 2.382
MIROC5 historical 1861-2005 13.59 8.888 4.492 917.5 77.1 954.4 413313 2.515
MIROC5 piControl 1661-2299 14.61 9.543 4.91 1021 76.53 953.9 461003 2.279
MIROC5 rcp2p6 2006-2299 16.09 10.95 6.213 1036 75.06 955 472695 2.563
MIROC5 rcp4p5 2006-2099 16.39 11.26 6.535 1026 75.03 955.2 465566 2.545
MIROC5 rcp6p0 2006-2099 16.14 11.07 6.386 1044 75.27 955 462644 2.571
MIROC5 rcp8p5 2006-2099 17.45 12.21 7.43 1057 74.94 955.5 470872 2.44
CLIMATE_ISIMIP2BLBC
Table 39: Summary of CLIMATE_ISIMIP2BLBC for kroof. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 12.19 7.348 3.128 840.9 80.82 – 392192 0.991
GFDLESM2M piControl 1661-2099 12.21 7.335 3.133 865.5 81.67 – 393145 0.859
GFDLESM2M rcp2p6 2006-2099 13.41 8.459 4.083 860.9 80.79 – 396112 1.081
GFDLESM2M rcp4p5 2006-2099 13.85 8.805 4.374 832.9 80.4 – 399896 1.086
GFDLESM2M rcp6p0 2006-2099 13.84 8.791 4.392 846.2 80.69 – 398339 1.057
GFDLESM2M rcp8p5 2006-2099 14.66 9.392 4.887 826.9 79.52 – 399646 0.981
HadGEM2ES historical 1861-2005 11.89 7.041 2.788 837.2 81.25 – 385513 1.109
HadGEM2ES piControl 1661-2299 12.28 7.374 3.068 865.9 81.07 – 400374 1.104
HadGEM2ES rcp2p6 2006-2299 14.13 9.412 5.319 929.8 80.84 – 403007 1.044
HadGEM2ES rcp4p5 2006-2099 15.24 10.32 6.098 882.7 78.47 – 410577 1.041
HadGEM2ES rcp6p0 2006-2099 15.09 10.21 6.015 872.4 78.85 – 409413 1.062
HadGEM2ES rcp8p5 2006-2099 16.4 11.38 7.125 873 77.16 – 417666 1.063
IPSLCM5ALR historical 1861-2005 11.97 6.996 2.644 794 81.45 – 393492 1.101
IPSLCM5ALR piControl 1661-2299 11.45 6.415 1.96 792.9 81.8 – 408697 1.101
IPSLCM5ALR rcp2p6 2006-2299 14.19 9.307 5.081 876.5 79.53 – 410305 1.062
IPSLCM5ALR rcp4p5 2006-2299 15.74 10.74 6.443 869 77.74 – 416749 1.003
IPSLCM5ALR rcp6p0 2006-2099 14.74 9.823 5.569 850.4 78.36 – 409514 1.074
IPSLCM5ALR rcp8p5 2006-2299 21.53 16.27 11.7 858.6 71.85 – 434653 0.997
MIROC5 historical 1861-2005 11.96 7.217 2.974 772 81.15 – 374458 1.074
MIROC5 piControl 1661-2299 12.99 7.872 3.4 853.4 80.72 – 420498 0.972
MIROC5 rcp2p6 2006-2299 14.46 9.278 4.708 871.8 79.28 – 433005 1.095
MIROC5 rcp4p5 2006-2099 14.76 9.59 5.029 862.5 79.23 – 425229 1.087
MIROC5 rcp6p0 2006-2099 14.51 9.395 4.877 877.3 79.47 – 422558 1.099
MIROC5 rcp8p5 2006-2099 15.83 10.54 5.924 890.9 79.16 – 430741 1.042
CLIMATE_ISIMIP2A
Table 40: Summary of CLIMATE_ISIMIP2A for kroof. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 13.36 8.708 4.445 929.1 81.29 954.2 420816 2.976
PRINCETON 1901-2012 13.1 8.745 4.172 769.5 86.97 934.2 436757 3.099
WATCH 1901-2001 13.2 8.653 4.352 894.7 75.75 959.1 328758 2.371
WFDEI 1901-2010 13.29 8.714 4.403 898.4 76.05 957.6 355673 2.396
CLIMATE_ISIMIPFT
Table 41: Summary of CLIMATE_ISIMIPFT for kroof. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 13.56 9.024 4.75 952 86.78 959.2 325863 2.342
GFDLESM2M rcp2p6 2006-2099 14.62 10 5.625 995.3 87.04 960.1 328883 2.473
GFDLESM2M rcp4p5 2006-2099 15.03 10.33 5.892 971.2 86.92 960.5 331550 2.461
GFDLESM2M rcp6p0 2006-2099 15.03 10.34 5.949 981.3 86.92 960.5 329986 2.387
GFDLESM2M rcp8p5 2006-2099 15.74 10.88 6.39 957.7 86.08 960.8 331311 2.287
HadGEM2ES historical 1950-2004 13.39 8.849 4.561 946.9 80.81 959.2 324336 2.353
HadGEM2ES rcp2p6 2005-2099 15.9 11.23 6.89 965.1 79.11 959.6 343947 2.231
HadGEM2ES rcp4p5 2005-2099 16.68 11.95 7.576 953.1 77.73 960.1 344634 2.224
HadGEM2ES rcp6p0 2005-2099 16.53 11.84 7.497 945.1 78.06 960.1 344909 2.272
HadGEM2ES rcp8p5 2005-2099 17.82 13 8.585 941.6 76.44 960.5 348260 2.268
IPSLCM5ALR historical 1950-2005 13.52 9.016 4.764 952.5 80.67 959.2 322530 2.375
IPSLCM5ALR rcp2p6 2006-2099 15.45 10.95 6.717 1030 78.79 959.4 339625 2.315
IPSLCM5ALR rcp4p5 2006-2099 15.88 11.36 7.151 1025 78.14 960.1 337563 2.257
IPSLCM5ALR rcp6p0 2006-2099 15.87 11.39 7.189 1018 78.03 959.7 336743 2.346
IPSLCM5ALR rcp8p5 2006-2099 17.1 12.51 8.21 1012 76.63 960.2 344327 2.282
MIROCESMCHEM historical 1950-2005 13.57 8.996 4.678 959.9 91.38 959 332970 2.38
MIROCESMCHEM rcp2p6 2006-2099 16.07 11.41 7.054 1049 91.5 959.9 382600 1.946
MIROCESMCHEM rcp4p5 2006-2099 16.07 11.55 7.307 1024 91.75 960.3 378516 1.936
MIROCESMCHEM rcp6p0 2006-2099 16.28 11.63 7.301 1057 91.49 960 381116 1.948
MIROCESMCHEM rcp8p5 2006-2099 17.17 12.62 8.368 1060 91.56 960.7 387032 1.941
NorESM1M historical 1950-2005 13.46 8.861 4.513 942.1 82.38 959.2 324657 2.332
NorESM1M rcp2p6 2006-2099 15.13 10.52 6.158 997.6 79.83 959.8 354406 2.392
NorESM1M rcp4p5 2006-2099 15.68 10.95 6.499 965.1 78.97 960.1 359270 2.35
NorESM1M rcp6p0 2006-2099 15.78 10.77 6.122 979.9 80.46 960.2 355919 2.32
NorESM1M rcp8p5 2006-2099 16.82 11.17 6.02 1008 80.64 960.5 360565 2.233
NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site le_bray

General info

The ICP Forests site Le Bray is located 20 km south-west of Bordeaux, France, at an altitude of 61 m.a.s.l. Mean annual temperature is about 13.4°C and precipitation 920 mm during the 1996-2008 period, constituting a moderate oceanic climate. The soil type is Arenosol (sandy and hydromorphic podzol), which is one of the most common soils in the region. The natural vegetation is formed by deciduous broadleaf forests such as pedunculate oak forests (Quercus robur), partly with Quercus pyrenaica, Quercus suber and Pinus pinaster. First measurements were made in 1986 in the monospecific planted Pinus pinaster stand. The site experienced a storm in 1999 and lost a large amount of trees. In 2009, the mean DBH was 35 cm. The final clear cut of the site occurred at the beginning of 2009. More information about the site can be found in Porté & Loustau (1998), Bosc et al. (2003) and Berbigier et al. (2001).

The following data is available for the site

Table 42: Available data for le_bray
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Data

STAND

CLIMATE_LOCAL

Table 43: Summary of CLIMATE_LOCAL for le_bray. Note: The variables p_mm and rad_Jcm2day are the annual total values. Rest of variables are the mean yearly values.
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
le_bray 14 1996 17.6 13.01 8.849 931.3 73.01 1012 520559 2.683
le_bray 14 1997 20.32 14.86 10.01 998.4 75.42 1009 505790 2.056
le_bray 14 1998 17.89 13.19 8.995 846.2 77.13 1009 483163 2.536
le_bray 14 1999 17.64 13.6 9.805 746.4 83.11 1008 459015 2.992
le_bray 14 2000 17.73 13.76 10.11 890 77.64 1007 450137 3.186
le_bray 14 2001 17.44 13.37 9.666 843.9 77.7 1007 448570 3.087
le_bray 14 2002 17.97 13.79 10.07 926.4 74.21 1007 396366 3.255
le_bray 14 2003 18.69 14.03 9.768 887.5 71.73 1003 527420 3.189
le_bray 14 2004 17.08 12.72 8.78 1086 75.16 1002 501334 3.122
le_bray 14 2005 17.3 12.61 8.381 813.2 73.06 1004 492121 3.258
le_bray 14 2006 17.84 13.35 9.288 840.5 73.09 1002 470300 3.359
le_bray 14 2007 16.77 12.88 9.325 992 79.33 1003 447195 3.332
le_bray 14 2008 16.61 12.67 9.054 1160 78.83 1001 446255 3.19
le_bray 14 1996-2008 17.76 13.37 9.392 920.2 76.11 1006 472940 3.019
CLIMATE_ISIMIP2B
Table 44: Summary of CLIMATE_ISIMIP2B for le_bray. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 18.25 13.51 9.176 1026 72.09 1011 481618 2.866
GFDLESM2M piControl 1661-2099 18.4 13.43 8.965 1041 73.22 1011 483144 2.491
GFDLESM2M rcp2p6 2006-2099 19.36 14.4 9.872 987.9 71.83 1013 480682 2.83
GFDLESM2M rcp4p5 2006-2099 19.71 14.68 10.09 976.6 71.73 1013 480271 2.746
GFDLESM2M rcp6p0 2006-2099 19.7 14.76 10.23 970.4 71.62 1013 484675 2.878
GFDLESM2M rcp8p5 2006-2099 20.29 15.12 10.41 943 70.8 1013 487530 2.829
HadGEM2ES historical 1861-2005 18.29 13.31 8.813 980 71.97 1012 487189 2.835
HadGEM2ES piControl 1661-2299 18.6 13.54 8.962 999.5 71.85 1012 504842 2.878
HadGEM2ES rcp2p6 2006-2299 20.46 15.37 10.85 1038 71.56 1011 513563 2.69
HadGEM2ES rcp4p5 2006-2099 21.2 15.99 11.39 966.8 70.14 1012 514663 2.686
HadGEM2ES rcp6p0 2006-2099 21.06 15.86 11.28 964.4 70.42 1012 511141 2.716
HadGEM2ES rcp8p5 2006-2099 22.19 16.87 12.22 928.8 69.17 1012 520103 2.68
IPSLCM5ALR historical 1861-2005 17.62 12.79 8.439 1074 72.94 1011 479266 2.888
IPSLCM5ALR piControl 1661-2299 16.96 12.17 7.827 1109 73.37 1011 484639 2.959
IPSLCM5ALR rcp2p6 2006-2299 19.68 14.8 10.41 1085 72.03 1011 500954 2.775
IPSLCM5ALR rcp4p5 2006-2299 21.26 16.19 11.65 994.6 70.14 1011 513932 2.691
IPSLCM5ALR rcp6p0 2006-2099 20.33 15.36 10.9 1024 70.56 1011 502302 2.834
IPSLCM5ALR rcp8p5 2006-2299 27 21.86 17.22 865.4 64.24 1010 527558 2.654
MIROC5 historical 1861-2005 18.58 13.61 9.14 1032 71.91 1012 486953 2.794
MIROC5 piControl 1661-2299 19.04 13.95 9.377 1055 71.28 1011 514908 2.83
MIROC5 rcp2p6 2006-2299 20.49 15.16 10.44 1037 70.8 1012 523041 2.717
MIROC5 rcp4p5 2006-2099 20.64 15.36 10.64 1020 70.79 1012 515981 2.768
MIROC5 rcp6p0 2006-2099 20.45 15.23 10.55 1028 71.04 1012 511106 2.766
MIROC5 rcp8p5 2006-2099 21.59 16.21 11.46 1012 70.77 1012 519902 2.662
CLIMATE_ISIMIP2BLBC
Table 45: Summary of CLIMATE_ISIMIP2BLBC for le_bray. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 17.03 12.75 8.835 918.1 75.64 1006 476781 3.155
GFDLESM2M piControl 1661-2099 17.16 12.67 8.64 926.9 76.62 1006 478228 2.742
GFDLESM2M rcp2p6 2006-2099 18.12 13.64 9.552 888.6 75.33 1007 475842 3.115
GFDLESM2M rcp4p5 2006-2099 18.46 13.91 9.773 874.2 75.22 1007 475372 3.021
GFDLESM2M rcp6p0 2006-2099 18.45 13.99 9.911 867.3 75.11 1007 479935 3.167
GFDLESM2M rcp8p5 2006-2099 19.03 14.36 10.11 851.1 74.3 1007 482721 3.111
HadGEM2ES historical 1861-2005 17.11 12.68 8.675 852.1 76.1 1006 471415 3.056
HadGEM2ES piControl 1661-2299 17.41 12.91 8.833 873.4 76.01 1006 487824 3.104
HadGEM2ES rcp2p6 2006-2299 19.27 14.74 10.72 909.5 75.72 1006 496263 2.9
HadGEM2ES rcp4p5 2006-2099 19.99 15.37 11.27 843.1 74.3 1006 497515 2.898
HadGEM2ES rcp6p0 2006-2099 19.85 15.23 11.15 844.7 74.6 1006 493972 2.929
HadGEM2ES rcp8p5 2006-2099 20.96 16.25 12.1 810.3 73.31 1006 503201 2.894
IPSLCM5ALR historical 1861-2005 16.48 12.1 8.141 938.3 76.82 1006 474160 3.112
IPSLCM5ALR piControl 1661-2299 15.82 11.48 7.527 967.2 77.21 1006 479222 3.19
IPSLCM5ALR rcp2p6 2006-2299 18.53 14.11 10.12 947.6 75.97 1006 490673 2.986
IPSLCM5ALR rcp4p5 2006-2299 20.09 15.5 11.37 870.7 74.09 1006 503783 2.895
IPSLCM5ALR rcp6p0 2006-2099 19.16 14.67 10.61 896.5 74.53 1006 492014 3.05
IPSLCM5ALR rcp8p5 2006-2299 25.82 21.17 16.95 760.3 67.83 1004 520170 2.856
MIROC5 historical 1861-2005 17.2 12.86 8.902 892 76.08 1006 469452 3.038
MIROC5 piControl 1661-2299 17.65 13.19 9.149 913.2 75.48 1005 496136 3.079
MIROC5 rcp2p6 2006-2299 19.07 14.41 10.22 899.7 74.98 1006 504142 2.954
MIROC5 rcp4p5 2006-2099 19.23 14.6 10.43 886.9 74.97 1006 497361 3.011
MIROC5 rcp6p0 2006-2099 19.04 14.47 10.34 890.8 75.22 1006 492488 3.009
MIROC5 rcp8p5 2006-2099 20.16 15.46 11.25 878.7 74.95 1007 501300 2.893
CLIMATE_ISIMIP2A
Table 46: Summary of CLIMATE_ISIMIP2A for le_bray. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 17.72 12.88 8.293 937.5 75.48 1014 483910 4.889
PRINCETON 1901-2012 17.3 12.93 7.866 929.7 83.26 989 486215 3.997
WATCH 1901-2001 17.72 12.89 8.34 1017 77.27 1022 392291 4.281
WFDEI 1901-2010 17.9 13.01 8.493 1009 76.56 1019 425802 3.86
CLIMATE_ISIMIPFT
Table 47: Summary of CLIMATE_ISIMIPFT for le_bray. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 18.07 13.28 8.782 1095 81.57 1022 391501 4.283
GFDLESM2M rcp2p6 2006-2099 19.08 14.08 9.376 1037 80.54 1023 396770 4.368
GFDLESM2M rcp4p5 2006-2099 19.46 14.38 9.623 1026 80.34 1023 395991 4.226
GFDLESM2M rcp6p0 2006-2099 19.42 14.43 9.724 1025 80.31 1023 399116 4.466
GFDLESM2M rcp8p5 2006-2099 20.1 14.88 9.965 990.3 79.13 1023 402261 4.411
HadGEM2ES historical 1950-2004 17.9 13.09 8.595 1082 77.62 1022 390374 4.272
HadGEM2ES rcp2p6 2005-2099 20.12 15.03 10.34 1052 75.63 1021 413596 4.157
HadGEM2ES rcp4p5 2005-2099 20.63 15.55 10.86 1035 75.32 1022 411653 4.132
HadGEM2ES rcp6p0 2005-2099 20.51 15.44 10.77 1029 75.51 1022 410752 4.179
HadGEM2ES rcp8p5 2005-2099 21.56 16.38 11.64 988.4 74.56 1022 416035 4.104
IPSLCM5ALR historical 1950-2005 17.98 13.19 8.701 1090 73.55 1022 389487 4.329
IPSLCM5ALR rcp2p6 2006-2099 19.55 14.7 10.14 1084 72.5 1022 402647 4.242
IPSLCM5ALR rcp4p5 2006-2099 20.13 15.18 10.55 1040 71.96 1022 405755 4.175
IPSLCM5ALR rcp6p0 2006-2099 20.06 15.17 10.58 1059 71.8 1022 402176 4.321
IPSLCM5ALR rcp8p5 2006-2099 21.19 16.22 11.55 1013 70.76 1022 408470 4.169
MIROCESMCHEM historical 1950-2005 18.06 13.2 8.637 1077 89.97 1022 397708 4.373
MIROCESMCHEM rcp2p6 2006-2099 20.79 15.53 10.69 1090 88.24 1022 450221 4.194
MIROCESMCHEM rcp4p5 2006-2099 20.83 15.64 10.85 1054 88.42 1023 443380 4.178
MIROCESMCHEM rcp6p0 2006-2099 21.36 15.86 10.87 1073 87.79 1023 445312 4.144
MIROCESMCHEM rcp8p5 2006-2099 22.48 16.88 11.81 1029 86.61 1023 457528 4.142
NorESM1M historical 1950-2005 17.99 13.17 8.653 1070 80.9 1022 392073 4.272
NorESM1M rcp2p6 2006-2099 19.36 14.44 9.843 1068 79.29 1022 412750 4.275
NorESM1M rcp4p5 2006-2099 19.96 14.82 10.01 1042 78.74 1022 418252 4.228
NorESM1M rcp6p0 2006-2099 19.69 14.95 10.47 1037 78.73 1022 415242 4.362
NorESM1M rcp8p5 2006-2099 20.53 15.57 10.91 1001 77.94 1023 422040 4.342
METEOROLOGICAL

FLUX

ATMOSPHERICHEATCONDUCTION

SOILTS

NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site peitz

General info

Peitz is a long term research plot in eastern Brandenburg, Germany. The site lies at about 50 m.a.s.l. The annual rainfall amounts to more than 608 mm and annual mean temperature is around 9.2°C during the 1901-2010 period. The soil type is a Dystric Cambisol. The potential natural vegetation is a South Scandinavian-east Central European dwarf shrub- and lichen-rich pine forests (Pinus sylvestris), partly with Quercus robur in the understorey, with Vaccinium vitis-idaea, Calluna vulgaris, Cladina spp., Dicranum polysetum on sandy soils and siliceous rocks. The forest is a pine forest (Pinus sylvestris) with a mean DBH of around 23 cm and a stand height of 17 m in 2011. The understorey consists partly of Quercus robur. Measurements were started in 1948. More information about this site can be found in Riek & Stähr (2004), Noack (2011; 2012) and about the climate data in Gerstengarbe et al. (2015).

The following data is available for the site

Table 48: Available data for peitz
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_ISIMIP2B
Table 49: Summary of CLIMATE_ISIMIP2B for peitz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 13.81 9.616 5.453 612.6 74.06 1005 365465 3.375
GFDLESM2M piControl 1661-2099 13.74 9.518 5.35 651.1 76.14 1005 366675 2.84
GFDLESM2M rcp2p6 2006-2099 15.02 10.83 6.599 645.8 74 1005 371829 3.835
GFDLESM2M rcp4p5 2006-2099 15.46 11.2 6.921 648.3 74.1 1006 372223 3.795
GFDLESM2M rcp6p0 2006-2099 15.43 11.17 6.916 643.1 74.02 1006 371345 3.747
GFDLESM2M rcp8p5 2006-2099 15.92 11.61 7.308 634.1 73.82 1006 367699 3.752
HadGEM2ES historical 1861-2005 13.43 9.193 4.954 582.9 73.63 1006 372427 3.646
HadGEM2ES piControl 1661-2299 14 9.635 5.264 581.4 72.5 1005 397709 3.643
HadGEM2ES rcp2p6 2006-2299 15.93 11.62 7.362 642.4 73.01 1005 402324 3.419
HadGEM2ES rcp4p5 2006-2099 16.94 12.55 8.192 587.4 70.42 1005 408428 3.519
HadGEM2ES rcp6p0 2006-2099 16.88 12.5 8.166 597.5 70.6 1005 407133 3.539
HadGEM2ES rcp8p5 2006-2099 18.04 13.58 9.186 602.8 69.58 1005 414429 3.485
IPSLCM5ALR historical 1861-2005 13.17 8.935 4.739 612.1 75.22 1005 375094 3.552
IPSLCM5ALR piControl 1661-2299 12.63 8.31 4.002 621.8 75.76 1005 395164 3.334
IPSLCM5ALR rcp2p6 2006-2299 15.48 11.39 7.344 671.9 73.6 1005 399889 3.526
IPSLCM5ALR rcp4p5 2006-2299 16.88 12.77 8.75 672 72.36 1005 400272 3.441
IPSLCM5ALR rcp6p0 2006-2099 16 11.93 7.933 665.9 72.72 1005 393997 3.491
IPSLCM5ALR rcp8p5 2006-2299 22.11 17.97 13.95 665 67.98 1004 405196 3.39
MIROC5 historical 1861-2005 13.55 9.377 5.214 597.8 74.17 1005 367431 3.542
MIROC5 piControl 1661-2299 14.8 10.18 5.671 622.7 71.85 1005 420279 3.261
MIROC5 rcp2p6 2006-2299 15.94 11.38 6.887 659.7 72.07 1005 428570 3.592
MIROC5 rcp4p5 2006-2099 16.16 11.71 7.344 688.4 73.4 1005 417241 3.499
MIROC5 rcp6p0 2006-2099 16.09 11.59 7.164 661.5 72.36 1005 419686 3.591
MIROC5 rcp8p5 2006-2099 17.22 12.63 8.16 681 72.48 1006 426090 3.445
CLIMATE_ISIMIP2BLBC
Table 50: Summary of CLIMATE_ISIMIP2BLBC for peitz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 13.71 9.253 5.193 551.2 76.4 1008 368831 2.272
GFDLESM2M piControl 1661-2099 13.65 9.154 5.093 586.2 78.32 1008 369775 1.914
GFDLESM2M rcp2p6 2006-2099 14.92 10.47 6.337 580.8 76.33 1009 375181 2.581
GFDLESM2M rcp4p5 2006-2099 15.36 10.83 6.661 583.3 76.4 1009 375723 2.555
GFDLESM2M rcp6p0 2006-2099 15.33 10.81 6.656 578.3 76.34 1009 374780 2.522
GFDLESM2M rcp8p5 2006-2099 15.83 11.24 7.049 571.1 76.13 1009 370976 2.527
HadGEM2ES historical 1861-2005 13.64 9.094 4.923 513.5 75.11 1009 382648 2.425
HadGEM2ES piControl 1661-2299 14.21 9.534 5.234 512.9 73.96 1009 410363 2.421
HadGEM2ES rcp2p6 2006-2299 16.15 11.52 7.33 566.8 74.48 1008 414718 2.274
HadGEM2ES rcp4p5 2006-2099 17.16 12.45 8.163 518.7 71.83 1008 420557 2.342
HadGEM2ES rcp6p0 2006-2099 17.1 12.4 8.136 527 72.02 1008 419628 2.354
HadGEM2ES rcp8p5 2006-2099 18.27 13.48 9.157 532.3 70.98 1008 427065 2.32
IPSLCM5ALR historical 1861-2005 13.38 8.866 4.752 553.1 76.82 1008 383564 2.357
IPSLCM5ALR piControl 1661-2299 12.84 8.241 4.018 560.8 77.34 1008 405106 2.211
IPSLCM5ALR rcp2p6 2006-2299 15.69 11.32 7.355 607 75.22 1008 410078 2.341
IPSLCM5ALR rcp4p5 2006-2299 17.09 12.7 8.761 607.3 73.98 1008 410582 2.288
IPSLCM5ALR rcp6p0 2006-2099 16.2 11.86 7.943 602 74.34 1008 403839 2.32
IPSLCM5ALR rcp8p5 2006-2299 22.32 17.9 13.96 602.2 69.45 1007 416170 2.259
MIROC5 historical 1861-2005 13.82 9.316 5.201 554.6 76 1009 380958 2.353
MIROC5 piControl 1661-2299 15.11 10.12 5.662 577.6 73.65 1008 438605 2.166
MIROC5 rcp2p6 2006-2299 16.24 11.31 6.876 612.1 73.89 1009 447397 2.384
MIROC5 rcp4p5 2006-2099 16.46 11.65 7.331 638.4 75.23 1009 434969 2.324
MIROC5 rcp6p0 2006-2099 16.38 11.53 7.152 615.3 74.18 1008 437843 2.384
MIROC5 rcp8p5 2006-2099 17.52 12.57 8.148 631.7 74.31 1009 444451 2.289
CLIMATE_ISIMIP2A
Table 51: Summary of CLIMATE_ISIMIP2A for peitz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 13.48 9.222 5.34 654.2 75.73 1007 365709 3.738
PRINCETON 1901-2012 13.23 9.254 5.083 558.3 85.32 999.2 374569 3.515
WATCH 1901-2001 13.36 9.063 5.199 601.4 76.93 1007 309798 2.786
WFDEI 1901-2010 13.47 9.18 5.229 607.6 76.54 1006 335822 3.017
CLIMATE_ISIMIPFT
Table 52: Summary of CLIMATE_ISIMIPFT for peitz. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 13.65 9.321 5.451 603.6 81.85 1007 301382 2.76
GFDLESM2M rcp2p6 2006-2099 14.79 10.46 6.531 640.5 81.71 1007 306896 2.984
GFDLESM2M rcp4p5 2006-2099 15.22 10.84 6.893 641.6 81.61 1008 307086 2.963
GFDLESM2M rcp6p0 2006-2099 15.19 10.81 6.876 637.2 81.55 1008 306633 2.938
GFDLESM2M rcp8p5 2006-2099 15.68 11.25 7.273 632.4 81.4 1008 304045 2.942
HadGEM2ES historical 1950-2004 13.44 9.1 5.205 605.3 76.43 1007 300671 2.751
HadGEM2ES rcp2p6 2005-2099 16.2 11.53 7.39 603 73.53 1007 324752 2.641
HadGEM2ES rcp4p5 2005-2099 16.96 12.27 8.101 591.9 72.4 1007 325148 2.692
HadGEM2ES rcp6p0 2005-2099 16.91 12.23 8.086 596.4 72.4 1007 325800 2.708
HadGEM2ES rcp8p5 2005-2099 18.06 13.28 9.086 604.9 71.57 1007 328836 2.671
IPSLCM5ALR historical 1950-2005 13.64 9.327 5.463 605.5 77.42 1007 298839 2.766
IPSLCM5ALR rcp2p6 2006-2099 15.71 11.48 7.713 667.8 75.69 1007 314031 2.713
IPSLCM5ALR rcp4p5 2006-2099 16.07 11.87 8.134 664.1 75.38 1007 311371 2.697
IPSLCM5ALR rcp6p0 2006-2099 16.09 11.91 8.196 669 75.3 1007 309354 2.724
IPSLCM5ALR rcp8p5 2006-2099 17.17 12.93 9.153 660.5 74.27 1007 314382 2.675
MIROCESMCHEM historical 1950-2005 13.64 9.273 5.356 606.3 89.03 1007 307006 2.875
MIROCESMCHEM rcp2p6 2006-2099 16.44 11.86 7.829 687 88.72 1007 359300 2.417
MIROCESMCHEM rcp4p5 2006-2099 16.42 11.99 8.091 689.3 89.36 1007 352157 2.302
MIROCESMCHEM rcp6p0 2006-2099 16.65 12.09 8.1 697.3 88.84 1007 355831 2.386
MIROCESMCHEM rcp8p5 2006-2099 17.67 13.12 9.157 717.8 88.84 1008 360730 2.305
NorESM1M historical 1950-2005 13.54 9.203 5.304 592.9 80.15 1007 300126 2.752
NorESM1M rcp2p6 2006-2099 15.21 11.04 7.226 612.3 76.58 1007 325290 2.934
NorESM1M rcp4p5 2006-2099 15.73 11.33 7.336 601 76.48 1007 327757 2.835
NorESM1M rcp6p0 2006-2099 15.75 11.36 7.365 611.4 76.64 1007 326850 2.837
NorESM1M rcp8p5 2006-2099 16.43 11.86 7.761 625 76.19 1008 328316 2.793
NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site solling_beech

General info

Solling 304 is a long-term intensive forest monitoring plot (Level II) of the ICP Forests network in central Germany. The plot is also part of the LTER (site LTER_EU_DE_009) and of the permanent soil monitoring programme of the state of Lower Saxony. The site is situated in the center of the Solling plateau at an elevation of about 500 m a.s.l. The mean temperature was around 6.8°C and the mean annual rainfall amounted to 1113 mm during the period 1960-2013. The bedrock consist of Triassic sandstone covered with a 60 to 80 cm deep solifluction layer of loess material from which the soil, classified as an Haplic Cambisol, has developed. The humus type is a typical Moder. The tree layer consists only of European beech (Fagus sylvatica L.). Oxalis acetosella and Luzula luzuloides are the major species of the sparse ground vegetation. Actual vegetation was assigned to the Luzulo-Fagetum typicum and is close to the potential natural vegetation. The forest is a 168-year old stand with a mean DBH of 50 cm and a mean height of 30.7 m in 2016. More information about the site can be found in Meiwes et al. (2009), Meesenburg et al. (2009), Panferov et al. (2009), Le Mellec et al. (2010), Meesenburg et al. (2016) and Fleck et al. (2016).

The following data is available for the site

Table 53: Available data for solling_beech
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_ISIMIP2B
Table 54: Summary of CLIMATE_ISIMIP2B for solling_beech. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 12.02 8.291 4.63 965.5 78.4 986 351220 3.417
GFDLESM2M piControl 1661-2099 11.91 8.18 4.535 1020 80.61 985.8 350355 2.769
GFDLESM2M rcp2p6 2006-2099 13.02 9.348 5.668 1026 78.29 986.6 353728 3.827
GFDLESM2M rcp4p5 2006-2099 13.41 9.677 5.958 1031 78.23 986.9 355083 3.809
GFDLESM2M rcp6p0 2006-2099 13.52 9.726 5.961 1012 78.09 987 359177 3.725
GFDLESM2M rcp8p5 2006-2099 13.9 10.06 6.267 1023 78.27 987.1 351752 3.579
HadGEM2ES historical 1861-2005 11.58 7.856 4.173 913.7 77.89 986.5 357000 3.782
HadGEM2ES piControl 1661-2299 12 8.187 4.411 921.1 77.23 986.2 377726 3.8
HadGEM2ES rcp2p6 2006-2299 13.97 10.15 6.42 1003 77.54 986 389972 3.632
HadGEM2ES rcp4p5 2006-2099 14.9 11.01 7.185 957.8 75.18 986.3 394493 3.64
HadGEM2ES rcp6p0 2006-2099 14.86 10.97 7.16 924.9 75.06 986.4 394561 3.69
HadGEM2ES rcp8p5 2006-2099 15.92 11.93 8.069 959.9 74.25 986.6 404870 3.609
IPSLCM5ALR historical 1861-2005 11.41 7.663 3.951 923.2 78.91 985.9 360181 3.76
IPSLCM5ALR piControl 1661-2299 10.86 7.039 3.209 914.5 78.98 985.9 380260 3.712
IPSLCM5ALR rcp2p6 2006-2299 13.63 10.02 6.474 1021 77.67 985.8 383126 3.671
IPSLCM5ALR rcp4p5 2006-2299 14.96 11.32 7.772 1011 76.55 986.2 386531 3.585
IPSLCM5ALR rcp6p0 2006-2099 14.11 10.52 7 1004 76.72 985.9 380464 3.731
IPSLCM5ALR rcp8p5 2006-2299 20.08 16.37 12.77 1049 72.23 985.7 397025 3.511
MIROC5 historical 1861-2005 11.8 8.118 4.483 923.5 78.22 986.3 354907 3.505
MIROC5 piControl 1661-2299 12.8 8.766 4.875 979.5 76.81 985.8 404118 3.158
MIROC5 rcp2p6 2006-2299 13.99 10 6.031 1012 75.42 986.6 420823 4.025
MIROC5 rcp4p5 2006-2099 14.36 10.38 6.472 1038 76.48 986.6 410190 3.706
MIROC5 rcp6p0 2006-2099 14.14 10.17 6.252 1015 76.06 986.5 410564 3.77
MIROC5 rcp8p5 2006-2099 15.33 11.26 7.271 1051 76.07 986.9 417759 3.546
CLIMATE_ISIMIP2BLBC
Table 55: Summary of CLIMATE_ISIMIP2BLBC for solling_beech. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 10.47 6.63 3.261 1107 85.66 – 288257 0.945
GFDLESM2M piControl 1661-2099 10.38 6.52 3.164 1170 87.22 – 286477 0.766
GFDLESM2M rcp2p6 2006-2099 11.46 7.687 4.302 1177 85.49 – 289601 1.057
GFDLESM2M rcp4p5 2006-2099 11.85 8.017 4.594 1183 85.43 – 291224 1.053
GFDLESM2M rcp6p0 2006-2099 11.96 8.066 4.6 1161 85.24 – 295942 1.029
GFDLESM2M rcp8p5 2006-2099 12.35 8.395 4.908 1174 85.45 – 287892 0.989
HadGEM2ES historical 1861-2005 10.28 6.417 3.001 1055 84.32 – 300259 1.027
HadGEM2ES piControl 1661-2299 10.7 6.748 3.246 1064 83.67 – 323548 1.032
HadGEM2ES rcp2p6 2006-2299 12.67 8.714 5.254 1159 84 – 336700 0.986
HadGEM2ES rcp4p5 2006-2099 13.62 9.565 6.023 1107 81.47 – 340986 0.988
HadGEM2ES rcp6p0 2006-2099 13.57 9.53 5.999 1070 81.3 – 341408 1.002
HadGEM2ES rcp8p5 2006-2099 14.63 10.49 6.91 1111 80.44 – 352407 0.98
IPSLCM5ALR historical 1861-2005 10.09 6.254 2.848 1091 85.38 – 300351 1.024
IPSLCM5ALR piControl 1661-2299 9.544 5.63 2.115 1081 85.36 – 320787 1.01
IPSLCM5ALR rcp2p6 2006-2299 12.32 8.613 5.358 1208 84.26 – 324713 1
IPSLCM5ALR rcp4p5 2006-2299 13.65 9.914 6.657 1196 83.12 – 329105 0.976
IPSLCM5ALR rcp6p0 2006-2099 12.8 9.112 5.882 1188 83.29 – 322919 1.016
IPSLCM5ALR rcp8p5 2006-2299 18.76 14.96 11.66 1244 78.32 – 342016 0.956
MIROC5 historical 1861-2005 10.53 6.666 3.273 1111 84.85 – 301185 0.96
MIROC5 piControl 1661-2299 11.54 7.314 3.684 1179 83.41 – 354557 0.865
MIROC5 rcp2p6 2006-2299 12.71 8.549 4.845 1217 81.92 – 373206 1.104
MIROC5 rcp4p5 2006-2099 13.08 8.924 5.283 1252 83.08 – 361628 1.016
MIROC5 rcp6p0 2006-2099 12.86 8.714 5.062 1223 82.63 – 362358 1.034
MIROC5 rcp8p5 2006-2099 14.05 9.803 6.087 1265 82.65 – 370140 0.972
CLIMATE_ISIMIP2A
Table 56: Summary of CLIMATE_ISIMIP2A for solling_beech. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 11.75 7.91 4.438 908.9 80.45 988.6 354952 3.937
PRINCETON 1901-2012 11.49 7.941 4.175 720.6 86.61 994.7 365007 3.693
WATCH 1901-2001 11.69 7.791 4.357 937.7 79.3 986 307616 2.739
WFDEI 1901-2010 11.79 7.954 4.455 940.6 79.22 986 331452 3.026
CLIMATE_ISIMIPFT
Table 57: Summary of CLIMATE_ISIMIPFT for solling_beech. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 11.71 7.843 4.433 972.1 83.16 985.8 299367 2.703
GFDLESM2M rcp2p6 2006-2099 12.64 8.812 5.381 1037 83.35 986.2 301939 2.928
GFDLESM2M rcp4p5 2006-2099 13.05 9.158 5.695 1045 83.21 986.5 302757 2.887
GFDLESM2M rcp6p0 2006-2099 13.13 9.202 5.722 1026 82.99 986.6 304269 2.821
GFDLESM2M rcp8p5 2006-2099 13.52 9.535 6.02 1036 83.18 986.7 300243 2.765
HadGEM2ES historical 1950-2004 11.55 7.681 4.258 970.7 76.56 985.9 299026 2.711
HadGEM2ES rcp2p6 2005-2099 14.05 9.878 6.247 992.4 74.29 985.9 323108 2.6
HadGEM2ES rcp4p5 2005-2099 14.83 10.62 6.95 987 73.25 986 323433 2.623
HadGEM2ES rcp6p0 2005-2099 14.8 10.59 6.929 951.5 73.02 986.2 324949 2.662
HadGEM2ES rcp8p5 2005-2099 15.86 11.55 7.837 993.5 72.38 986.3 328351 2.609
IPSLCM5ALR historical 1950-2005 11.72 7.852 4.443 968.1 78.21 985.9 298085 2.733
IPSLCM5ALR rcp2p6 2006-2099 13.65 9.858 6.522 1042 76.62 985.7 313461 2.706
IPSLCM5ALR rcp4p5 2006-2099 14.02 10.23 6.914 1034 76.45 986.2 311196 2.673
IPSLCM5ALR rcp6p0 2006-2099 14.04 10.28 6.991 1033 76.21 985.8 309603 2.744
IPSLCM5ALR rcp8p5 2006-2099 15.07 11.24 7.876 1027 75.32 986 314994 2.661
MIROCESMCHEM historical 1950-2005 11.65 7.796 4.39 983.6 91.49 985.6 305806 2.73
MIROCESMCHEM rcp2p6 2006-2099 14.37 10.32 6.78 1124 91.05 985.9 363820 2.528
MIROCESMCHEM rcp4p5 2006-2099 14.27 10.45 7.079 1110 91.75 986.4 357358 2.365
MIROCESMCHEM rcp6p0 2006-2099 14.6 10.55 7.032 1122 90.97 986.1 361982 2.635
MIROCESMCHEM rcp8p5 2006-2099 15.4 11.49 8.079 1154 91.42 986.5 366684 2.329
NorESM1M historical 1950-2005 11.63 7.733 4.291 960.1 80.17 985.9 299444 2.7
NorESM1M rcp2p6 2006-2099 13.18 9.272 5.774 988.2 77.63 986.2 323535 2.79
NorESM1M rcp4p5 2006-2099 13.64 9.577 5.937 979 77.31 986.4 327072 2.745
NorESM1M rcp6p0 2006-2099 13.69 9.587 5.933 989.3 77.71 986.5 324772 2.73
NorESM1M rcp8p5 2006-2099 14.37 10.1 6.332 1024 77.31 986.8 327935 2.659
NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site soro

General info

The ICOS site Sorø (DK-Sor in the FLUXNET and ICOS data bases) is located in Denmark at an elevation of 40 m.a.s.l.. The climate is warm temperate and fully humid with a mean annual temperature of 9°C and annual precipitation sum of 774 mm during the period 1996-2010. The soil has been classified as an Alfisols/Molisols. Potential natural vegetation is deciduous broad-leaved forest dominated by Fagus sylvatica. Other species occurring in the area are Fraxinus excelsior, Larix decidua, Picea abies, Quercus spp., Acer spp. However, the region is mostly used as cropland. Data on tree DBH are reconstructed from tree ring measurement (Babst et al. 2014) and historical management information for the time period from 1944 to 2010. The mean DBH of this Fagus sylvatica stand was 29 cm in the year 2010. More information about the site can be found in Ladekarl (2001), Pilegaard et al. (2003, 2011), and Wu et al. (2013).

The following data is available for the site

Table 58: Available data for soro
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_LOCAL

Table 59: Summary of CLIMATE_LOCAL for soro. Note: The variables p_mm and rad_Jcm2day are the annual total values. Rest of variables are the mean yearly values.
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
soro 21 1996 8.237 6.093 3.991 456.8 84.18 1010 360945 4.871
soro 21 1997 10.65 8.277 5.894 551.8 81.11 1010 364713 5.163
soro 21 1998 10.06 7.834 5.664 815.9 85.3 1007 317789 5.542
soro 21 1999 11.03 8.621 6.239 822.9 84.93 1007 349664 5.117
soro 21 2000 11.11 8.79 6.514 646.2 84.26 1006 327691 5.396
soro 21 2001 10.27 7.891 5.574 789.4 84.9 1007 348938 4.975
soro 21 2002 11.11 8.665 6.281 1071 83.34 1008 356928 5.134
soro 21 2003 10.84 8.264 5.712 535.6 82.7 1010 381511 5.023
soro 21 2004 10.46 8.024 5.74 727 84.15 1007 348138 5.242
soro 21 2005 10.86 8.266 5.734 544.5 81.83 1009 363314 5.057
soro 21 2006 11.35 8.927 6.608 852.3 81.86 1008 368866 4.995
soro 21 2007 11.68 9.273 6.889 1154 81.93 1007 363945 5.49
soro 21 2008 11.53 9.205 6.831 807.5 80.12 1006 396308 5.393
soro 21 2009 11.04 8.595 6.146 686.3 80.77 1007 390994 5.087
soro 21 2010 9.243 6.883 4.521 863.2 84.45 1006 359982 4.92
soro 21 2011 11.16 8.714 6.293 1066 82.92 1008 369210 4.656
soro 21 2012 10.52 8.164 5.821 538.9 81.38 1007 362758 5.189
soro 21 1996-2012 10.66 8.264 5.909 760.5 82.95 1008 360688 5.132
CLIMATE_ISIMIP2B
Table 60: Summary of CLIMATE_ISIMIP2B for soro. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 11.19 8.683 6.221 623.8 77.94 1010 382664 4.734
GFDLESM2M piControl 1661-2099 11.21 8.642 6.131 668.5 78.48 1009 383811 4.055
GFDLESM2M rcp2p6 2006-2099 12.44 9.929 7.456 703.3 78.16 1009 388238 4.915
GFDLESM2M rcp4p5 2006-2099 12.8 10.29 7.819 701.1 78.17 1010 387115 4.815
GFDLESM2M rcp6p0 2006-2099 12.77 10.27 7.809 709 78.22 1010 385580 4.905
GFDLESM2M rcp8p5 2006-2099 13.05 10.54 8.071 713.4 78.37 1010 381769 5.023
HadGEM2ES historical 1861-2005 10.6 8.064 5.561 627.9 78.01 1010 383427 4.852
HadGEM2ES piControl 1661-2299 10.94 8.333 5.778 629 77.53 1010 398756 4.729
HadGEM2ES rcp2p6 2006-2299 12.9 10.36 7.895 674.4 77.77 1010 406224 4.653
HadGEM2ES rcp4p5 2006-2099 13.76 11.16 8.651 643 75.76 1010 408926 4.777
HadGEM2ES rcp6p0 2006-2099 13.76 11.15 8.632 617 75.45 1010 409975 4.776
HadGEM2ES rcp8p5 2006-2099 14.75 12.12 9.59 620 74.49 1010 415502 4.688
IPSLCM5ALR historical 1861-2005 10.51 7.97 5.477 593.2 78.54 1010 396035 4.842
IPSLCM5ALR piControl 1661-2299 9.849 7.261 4.704 559.6 78.86 1010 411767 4.767
IPSLCM5ALR rcp2p6 2006-2299 13.01 10.6 8.255 651.3 77.23 1009 410566 4.864
IPSLCM5ALR rcp4p5 2006-2299 14.29 11.9 9.597 683.8 77.07 1009 406548 4.846
IPSLCM5ALR rcp6p0 2006-2099 13.45 11.07 8.75 668.5 77.01 1009 403450 4.87
IPSLCM5ALR rcp8p5 2006-2299 18.6 16.15 13.83 759.6 75.99 1008 409610 4.778
MIROC5 historical 1861-2005 11.02 8.482 5.983 607.7 77.71 1010 383252 4.866
MIROC5 piControl 1661-2299 11.65 9.041 6.468 620.8 76.72 1010 418197 4.839
MIROC5 rcp2p6 2006-2299 12.67 10.09 7.558 659.4 76.93 1010 422334 4.966
MIROC5 rcp4p5 2006-2099 13.05 10.48 7.963 677.3 77.04 1010 413614 4.916
MIROC5 rcp6p0 2006-2099 12.91 10.33 7.801 679.7 76.99 1010 414534 4.89
MIROC5 rcp8p5 2006-2099 13.92 11.35 8.835 694.1 76.79 1010 419993 4.809
CLIMATE_ISIMIP2BLBC
Table 61: Summary of CLIMATE_ISIMIP2BLBC for soro. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 10.33 7.942 5.582 721.5 82.63 1008 362952 4.983
GFDLESM2M piControl 1661-2099 10.35 7.902 5.495 774.5 83.08 1008 363278 4.267
GFDLESM2M rcp2p6 2006-2099 11.58 9.187 6.816 813.3 82.84 1008 368115 5.17
GFDLESM2M rcp4p5 2006-2099 11.94 9.548 7.18 810 82.85 1008 367687 5.065
GFDLESM2M rcp6p0 2006-2099 11.91 9.527 7.17 821.7 82.9 1008 365701 5.161
GFDLESM2M rcp8p5 2006-2099 12.19 9.795 7.431 827.1 83.04 1008 360531 5.284
HadGEM2ES historical 1861-2005 9.458 7.09 4.742 788 83.4 1009 350876 5.115
HadGEM2ES piControl 1661-2299 9.787 7.358 4.961 791.2 83.04 1008 366089 4.986
HadGEM2ES rcp2p6 2006-2299 11.75 9.385 7.074 845.6 83.27 1008 375434 4.906
HadGEM2ES rcp4p5 2006-2099 12.61 10.19 7.835 802 81.44 1008 380892 5.033
HadGEM2ES rcp6p0 2006-2099 12.61 10.18 7.816 768.8 81.1 1008 381824 5.034
HadGEM2ES rcp8p5 2006-2099 13.6 11.15 8.775 768.7 80.16 1008 389268 4.94
IPSLCM5ALR historical 1861-2005 9.524 7.088 4.683 700.8 83.21 1008 371379 5.186
IPSLCM5ALR piControl 1661-2299 8.858 6.379 3.91 657.5 83.37 1009 388525 5.106
IPSLCM5ALR rcp2p6 2006-2299 12.03 9.721 7.461 769.2 82.09 1008 388732 5.207
IPSLCM5ALR rcp4p5 2006-2299 13.31 11.02 8.803 807.3 81.94 1008 385451 5.188
IPSLCM5ALR rcp6p0 2006-2099 12.47 10.18 7.954 790.5 81.9 1008 381155 5.213
IPSLCM5ALR rcp8p5 2006-2299 17.62 15.27 13.03 890 80.81 1007 392402 5.11
MIROC5 historical 1861-2005 9.821 7.401 5.006 696.8 82.73 1008 347706 5.184
MIROC5 piControl 1661-2299 10.45 7.961 5.496 711.7 81.76 1008 387094 5.157
MIROC5 rcp2p6 2006-2299 11.47 9.012 6.585 758.3 82.01 1008 394128 5.292
MIROC5 rcp4p5 2006-2099 11.85 9.401 6.987 777.3 82.11 1008 382168 5.239
MIROC5 rcp6p0 2006-2099 11.71 9.248 6.825 781.1 82.05 1008 384043 5.211
MIROC5 rcp8p5 2006-2099 12.72 10.27 7.861 798 81.86 1009 392196 5.124
CLIMATE_ISIMIP2A
Table 62: Summary of CLIMATE_ISIMIP2A for soro. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 11 8.354 5.826 752.1 79.33 1012 375446 5.858
PRINCETON 1901-2012 10.87 8.378 5.686 564.2 81.23 1005 364635 4.881
WATCH 1901-2001 10.78 8.035 5.786 573.8 81.87 1010 336352 5.623
WFDEI 1901-2010 10.88 8.187 5.883 593.4 82.41 1010 356059 5.397
CLIMATE_ISIMIPFT
Table 63: Summary of CLIMATE_ISIMIPFT for soro. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 10.98 8.242 6.003 593 83.34 1009 327403 5.615
GFDLESM2M rcp2p6 2006-2099 12.12 9.407 7.168 659.2 83.49 1009 332607 5.765
GFDLESM2M rcp4p5 2006-2099 12.5 9.771 7.529 659.6 83.46 1009 332156 5.642
GFDLESM2M rcp6p0 2006-2099 12.47 9.747 7.512 662.8 83.48 1010 331052 5.733
GFDLESM2M rcp8p5 2006-2099 12.77 10.03 7.787 668.4 83.66 1010 327666 5.812
HadGEM2ES historical 1950-2004 10.81 8.061 5.809 591.4 77.63 1010 327021 5.559
HadGEM2ES rcp2p6 2005-2099 13.02 10.13 7.805 587.2 75.87 1010 347866 5.306
HadGEM2ES rcp4p5 2005-2099 13.76 10.87 8.534 591.7 75.11 1009 348432 5.38
HadGEM2ES rcp6p0 2005-2099 13.75 10.84 8.502 568.5 74.8 1010 349615 5.411
HadGEM2ES rcp8p5 2005-2099 14.76 11.82 9.466 573.7 73.96 1010 352993 5.282
IPSLCM5ALR historical 1950-2005 10.97 8.23 5.988 591.6 80.66 1009 328549 5.621
IPSLCM5ALR rcp2p6 2006-2099 13.17 10.53 8.356 633.1 79.28 1009 341696 5.62
IPSLCM5ALR rcp4p5 2006-2099 13.56 10.94 8.809 649.7 79.34 1009 339131 5.643
IPSLCM5ALR rcp6p0 2006-2099 13.56 10.96 8.832 645.7 79.25 1009 336854 5.648
IPSLCM5ALR rcp8p5 2006-2099 14.44 11.81 9.668 656 78.88 1009 341302 5.606
MIROCESMCHEM historical 1950-2005 10.89 8.135 5.881 604.3 88.8 1009 332272 5.605
MIROCESMCHEM rcp2p6 2006-2099 13.73 10.79 8.44 728 87.46 1009 379324 5.692
MIROCESMCHEM rcp4p5 2006-2099 13.94 11.02 8.68 729.3 87.62 1009 374735 5.765
MIROCESMCHEM rcp6p0 2006-2099 14.02 11.11 8.757 728.8 87.29 1009 377032 5.794
MIROCESMCHEM rcp8p5 2006-2099 15 12.08 9.736 760.2 87.23 1009 381137 5.816
NorESM1M historical 1950-2005 10.89 8.157 5.917 586.4 80.34 1010 328304 5.599
NorESM1M rcp2p6 2006-2099 12.36 9.568 7.283 602.8 79.03 1010 349078 5.702
NorESM1M rcp4p5 2006-2099 12.77 9.913 7.57 593.2 78.65 1010 351276 5.661
NorESM1M rcp6p0 2006-2099 12.76 9.953 7.656 581.9 78.62 1010 350688 5.79
NorESM1M rcp8p5 2006-2099 13.35 10.46 8.105 602.9 78.12 1010 352487 5.666
METEOROLOGICAL

FLUX

ATMOSPHERICHEATCONDUCTION

SOILTS

NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

Site solling_spruce

General info

Solling 305 is also a long-term intensive forest monitoring plot of the ICP Forests Level II network in central Germany. As the Solling beech site it belongs to the LTER (site LTER_EU_DE_009) and is a permanent soil monitoring plot of the state of Lower Saxony. It is situated close to the Solling beech site at an elevation of about 508 m a.s.l and has similar site conditions as the Solling beech stand. Potential natural vegetation is a Luzulo luzuloido Fagetum. Dominant species of the actual ground vegetation are Vaccinium myrtillus, Polytrichum formosum and Dechampsia flexuosa (Bolte et al. 2004). The forest is a 133-year old Norway spruce (Picea abies) stand with a mean DBH of 46.6 cm and a mean height of 33.1 m in 2016. More information about the site can be found in Le Mellec et al. (2010), Bonten et al. (2011), Meesenburg et al. (2016), Fleck et al. (2016) and Wegehenkel et al. (2017).

The following data is available for the site

Table 64: Available data for solling_spruce
SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Data

TREE

STAND

CLIMATE_ISIMIP2B
Table 65: Summary of CLIMATE_ISIMIP2B for solling_spruce. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 12.02 8.291 4.63 965.5 78.4 986 351220 3.417
GFDLESM2M piControl 1661-2099 11.91 8.18 4.535 1020 80.61 985.8 350355 2.769
GFDLESM2M rcp2p6 2006-2099 13.02 9.348 5.668 1026 78.29 986.6 353728 3.827
GFDLESM2M rcp4p5 2006-2099 13.41 9.677 5.958 1031 78.23 986.9 355083 3.809
GFDLESM2M rcp6p0 2006-2099 13.52 9.726 5.961 1012 78.09 987 359177 3.725
GFDLESM2M rcp8p5 2006-2099 13.9 10.06 6.267 1023 78.27 987.1 351752 3.579
HadGEM2ES historical 1861-2005 11.58 7.856 4.173 913.7 77.89 986.5 357000 3.782
HadGEM2ES piControl 1661-2299 12 8.187 4.411 921.1 77.23 986.2 377726 3.8
HadGEM2ES rcp2p6 2006-2299 13.97 10.15 6.42 1003 77.54 986 389972 3.632
HadGEM2ES rcp4p5 2006-2099 14.9 11.01 7.185 957.8 75.18 986.3 394493 3.64
HadGEM2ES rcp6p0 2006-2099 14.86 10.97 7.16 924.9 75.06 986.4 394561 3.69
HadGEM2ES rcp8p5 2006-2099 15.92 11.93 8.069 959.9 74.25 986.6 404870 3.609
IPSLCM5ALR historical 1861-2005 11.41 7.663 3.951 923.2 78.91 985.9 360181 3.76
IPSLCM5ALR piControl 1661-2299 10.86 7.039 3.209 914.5 78.98 985.9 380260 3.712
IPSLCM5ALR rcp2p6 2006-2299 13.63 10.02 6.474 1021 77.67 985.8 383126 3.671
IPSLCM5ALR rcp4p5 2006-2299 14.96 11.32 7.772 1011 76.55 986.2 386531 3.585
IPSLCM5ALR rcp6p0 2006-2099 14.11 10.52 7 1004 76.72 985.9 380464 3.731
IPSLCM5ALR rcp8p5 2006-2299 20.08 16.37 12.77 1049 72.23 985.7 397025 3.511
MIROC5 historical 1861-2005 11.8 8.118 4.483 923.5 78.22 986.3 354907 3.505
MIROC5 piControl 1661-2299 12.8 8.766 4.875 979.5 76.81 985.8 404118 3.158
MIROC5 rcp2p6 2006-2299 13.99 10 6.031 1012 75.42 986.6 420823 4.025
MIROC5 rcp4p5 2006-2099 14.36 10.38 6.472 1038 76.48 986.6 410190 3.706
MIROC5 rcp6p0 2006-2099 14.14 10.17 6.252 1015 76.06 986.5 410564 3.77
MIROC5 rcp8p5 2006-2099 15.33 11.26 7.271 1051 76.07 986.9 417759 3.546
CLIMATE_ISIMIP2BLBC
Table 66: Summary of CLIMATE_ISIMIP2BLBC for solling_spruce. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 10.47 6.63 3.261 1107 85.66 – 288257 0.945
GFDLESM2M piControl 1661-2099 10.38 6.52 3.164 1170 87.22 – 286477 0.766
GFDLESM2M rcp2p6 2006-2099 11.46 7.687 4.302 1177 85.49 – 289601 1.057
GFDLESM2M rcp4p5 2006-2099 11.85 8.017 4.594 1183 85.43 – 291224 1.053
GFDLESM2M rcp6p0 2006-2099 11.96 8.066 4.6 1161 85.24 – 295942 1.029
GFDLESM2M rcp8p5 2006-2099 12.35 8.395 4.908 1174 85.45 – 287892 0.989
HadGEM2ES historical 1861-2005 10.28 6.417 3.001 1055 84.32 – 300259 1.027
HadGEM2ES piControl 1661-2299 10.7 6.748 3.246 1064 83.67 – 323548 1.032
HadGEM2ES rcp2p6 2006-2299 12.67 8.714 5.254 1159 84 – 336700 0.986
HadGEM2ES rcp4p5 2006-2099 13.62 9.565 6.023 1107 81.47 – 340986 0.988
HadGEM2ES rcp6p0 2006-2099 13.57 9.53 5.999 1070 81.3 – 341408 1.002
HadGEM2ES rcp8p5 2006-2099 14.63 10.49 6.91 1111 80.44 – 352407 0.98
IPSLCM5ALR historical 1861-2005 10.09 6.254 2.848 1091 85.38 – 300351 1.024
IPSLCM5ALR piControl 1661-2299 9.544 5.63 2.115 1081 85.36 – 320787 1.01
IPSLCM5ALR rcp2p6 2006-2299 12.32 8.613 5.358 1208 84.26 – 324713 1
IPSLCM5ALR rcp4p5 2006-2299 13.65 9.914 6.657 1196 83.12 – 329105 0.976
IPSLCM5ALR rcp6p0 2006-2099 12.8 9.112 5.882 1188 83.29 – 322919 1.016
IPSLCM5ALR rcp8p5 2006-2299 18.76 14.96 11.66 1244 78.32 – 342016 0.956
MIROC5 historical 1861-2005 10.53 6.666 3.273 1111 84.85 – 301185 0.96
MIROC5 piControl 1661-2299 11.54 7.314 3.684 1179 83.41 – 354557 0.865
MIROC5 rcp2p6 2006-2299 12.71 8.549 4.845 1217 81.92 – 373206 1.104
MIROC5 rcp4p5 2006-2099 13.08 8.924 5.283 1252 83.08 – 361628 1.016
MIROC5 rcp6p0 2006-2099 12.86 8.714 5.062 1223 82.63 – 362358 1.034
MIROC5 rcp8p5 2006-2099 14.05 9.803 6.087 1265 82.65 – 370140 0.972
CLIMATE_ISIMIP2A
Table 67: Summary of CLIMATE_ISIMIP2A for solling_spruce. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GSWP3 1901-2010 11.75 7.91 4.438 908.9 80.45 988.6 354952 3.937
PRINCETON 1901-2012 11.49 7.941 4.175 720.6 86.61 994.7 365007 3.693
WATCH 1901-2001 11.69 7.791 4.357 937.7 79.3 986 307616 2.739
WFDEI 1901-2010 11.79 7.954 4.455 940.6 79.22 986 331452 3.026
CLIMATE_ISIMIPFT
Table 68: Summary of CLIMATE_ISIMIPFT for solling_spruce. Note: The values are the average of the yearly values. The variables p_mm and rad_Jcm2day are the average of the total yearly values. Rest of variables are the average of the mean yearly values.
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1950-2005 11.71 7.843 4.433 972.1 83.16 985.8 299367 2.703
GFDLESM2M rcp2p6 2006-2099 12.64 8.812 5.381 1037 83.35 986.2 301939 2.928
GFDLESM2M rcp4p5 2006-2099 13.05 9.158 5.695 1045 83.21 986.5 302757 2.887
GFDLESM2M rcp6p0 2006-2099 13.13 9.202 5.722 1026 82.99 986.6 304269 2.821
GFDLESM2M rcp8p5 2006-2099 13.52 9.535 6.02 1036 83.18 986.7 300243 2.765
HadGEM2ES historical 1950-2004 11.55 7.681 4.258 970.7 76.56 985.9 299026 2.711
HadGEM2ES rcp2p6 2005-2099 14.05 9.878 6.247 992.4 74.29 985.9 323108 2.6
HadGEM2ES rcp4p5 2005-2099 14.83 10.62 6.95 987 73.25 986 323433 2.623
HadGEM2ES rcp6p0 2005-2099 14.8 10.59 6.929 951.5 73.02 986.2 324949 2.662
HadGEM2ES rcp8p5 2005-2099 15.86 11.55 7.837 993.5 72.38 986.3 328351 2.609
IPSLCM5ALR historical 1950-2005 11.72 7.852 4.443 968.1 78.21 985.9 298085 2.733
IPSLCM5ALR rcp2p6 2006-2099 13.65 9.858 6.522 1042 76.62 985.7 313461 2.706
IPSLCM5ALR rcp4p5 2006-2099 14.02 10.23 6.914 1034 76.45 986.2 311196 2.673
IPSLCM5ALR rcp6p0 2006-2099 14.04 10.28 6.991 1033 76.21 985.8 309603 2.744
IPSLCM5ALR rcp8p5 2006-2099 15.07 11.24 7.876 1027 75.32 986 314994 2.661
MIROCESMCHEM historical 1950-2005 11.65 7.796 4.39 983.6 91.49 985.6 305806 2.73
MIROCESMCHEM rcp2p6 2006-2099 14.37 10.32 6.78 1124 91.05 985.9 363820 2.528
MIROCESMCHEM rcp4p5 2006-2099 14.27 10.45 7.079 1110 91.75 986.4 357358 2.365
MIROCESMCHEM rcp6p0 2006-2099 14.6 10.55 7.032 1122 90.97 986.1 361982 2.635
MIROCESMCHEM rcp8p5 2006-2099 15.4 11.49 8.079 1154 91.42 986.5 366684 2.329
NorESM1M historical 1950-2005 11.63 7.733 4.291 960.1 80.17 985.9 299444 2.7
NorESM1M rcp2p6 2006-2099 13.18 9.272 5.774 988.2 77.63 986.2 323535 2.79
NorESM1M rcp4p5 2006-2099 13.64 9.577 5.937 979 77.31 986.4 327072 2.745
NorESM1M rcp6p0 2006-2099 13.69 9.587 5.933 989.3 77.71 986.5 324772 2.73
NorESM1M rcp8p5 2006-2099 14.37 10.1 6.332 1024 77.31 986.8 327935 2.659
NDEPOSITION_EMEP

NDEPOSITION_ISIMIP2B

MODIS_MOD09A1

MODIS_MOD15A2

MODIS_MOD11A2

MODIS_MOD13Q1

MODIS_MOD17A2

ProfoundData R package: using the database from R

This package serves as interface for users that want to access the PROFOUND data. Two main functions are included to achieve this goal: a getData function for downloading data form the database and a plotData function to quickly inspect any variable of the datasets.

Currently, the functions permit to download data from one location and one dataset at a time. For downloading data of more than one dataset or of more than one location, the function should be called as many times as locations or datasets. Additionally, flags and other parameters can be passed to the functions.

This is just a preliminary version of both package and database. As user, please test the functions and provide feedback on what could be improved.

First Steps

Before installing the package, you should have the following packages available:

Once you have installed the package, it is time to use it. After loading ProfoundData, the first step is to call the setDB. This function will create a database object. It requires from you a valid absolute path to the PROFOUNDData database. So lets start!

library(ProfoundData)
setDB("/home/ramiro/ownCloud/PROFOUND_Data/v0.1.13/ProfoundData.sqlite")
## /home/ramiro/ownCloud/PROFOUND_Data/v0.1.13/ProfoundData.sqlite
## Database version is 0.1.13

To check the database you can use the use getDB, which returns the database path and also informs on the database version.

getDB()

The browseData function: exploring the database

The browseData function allows you to see what data is included in the database and for what locations the data is available. Currently you will find that for several locations the data is not available.

overview <- browseData()
knitr::kable(overview,  align = "l")
site_id site SITES TREE STAND SOIL CLIMATE_LOCAL CLIMATE_ISIMIP2B CLIMATE_ISIMIP2BLBC CLIMATE_ISIMIP2A CLIMATE_ISIMIPFT METEOROLOGICAL FLUX ATMOSPHERICHEATCONDUCTION SOILTS NDEPOSITION_EMEP NDEPOSITION_ISIMIP2B CO2_ISIMIP MODIS_MOD09A1 MODIS_MOD15A2 MODIS_MOD11A2 MODIS_MOD13Q1 MODIS_MOD17A2 MODIS
3 bily_kriz 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
5 collelongo 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
12 hyytiala 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
13 kroof 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
14 le_bray 1 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
16 peitz 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
20 solling_beech 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1
21 soro 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
25 solling_spruce 1 1 1 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1

Hint: If you set collapse to FALSE, you will get the full version of the overview table

overview <- browseData(collapse = F)

Besides returning the overview, browseData allows to check:

tables <- browseData(dataset = "DATASETS")
variables <- browseData(dataset = "CLIMATE_LOCAL", variables = T)
available <- browseData(dataset = "CLIMATE_LOCAL")
available <- browseData(location ="le_bray")
available <- browseData(location ="le_bray",dataset = "CLIMATE_LOCAL")
version <- browseData(dataset = "VERSION")
metadata <- browseData(dataset = "METADATA_DATASETS")
metadata <- browseData(dataset = "METADATA_CLIMATE_LOCAL")

Hint: You can also pass a location to check the specific site metadata

metadata <- browseData(dataset = "METADATA_TREE", location = "solling_spruce")
source <- browseData(dataset = "SOURCE")

Hint: You can also pass a location to check the specific site source

source <- browseData(dataset = "SOURCE", location = "solling_spruce")
source <- browseData(dataset = "POLICY")

Hint: You can also pass a location to check the specific site source

policy <- browseData(dataset = "POLICY", location = "solling_spruce")

The getData function

The getData allows to download data from the PROFOUND database. The returned object will be a dataframe or list of dataframes, depending on the data that has been requested.

SITES

To obtain the site information, use getData to download the table SITES

data <-getData(dataset =  "SITES")
names(data)
##  [1] "site_id"                   "site"                     
##  [3] "lat"                       "lon"                      
##  [5] "epsg"                      "country"                  
##  [7] "aspect_deg"                "elevation_masl"           
##  [9] "slope_percent"             "natVegetation_code1"      
## [11] "natVegetation_code2"       "natVegetation_description"

Optionally, you can specify a site

data <-getData(dataset =  "SITES", location = "soro")
knitr::kable(data, row.names = F)
site_id site lat lon epsg country aspect_deg elevation_masl slope_percent natVegetation_code1 natVegetation_code2 natVegetation_description
21 soro 55.48584 11.64462 4326 Denmark NA 40 0 F.5.2.1 F108 South Scandinavian-north Central European Galium odoratum- and Milium effusum-beech forests (Fagus sylvatica), partly with Fraxinus excelsior, partly with Stellaria nemorum subsp. Montana, Luzula sylvatica, Polygonatum verticillatum, Ranunculus lanuginosus, Cardamine bulbifera

A text description can be obtained from SITEDESCRIPTION

soro <-getData(dataset =  "SITEDESCRIPTION", location = "soro")
soro$description
## [1] "The ICOS site Sorø (DK-Sor in the FLUXNET and ICOS data bases) is located in Denmark at an elevation of 40 m.a.s.l.. The climate is warm temperate and fully humid with a mean annual temperature of 9°C and annual precipitation sum of 774 mm during the period 1996-2010. The soil has been classified as an Alfisols/Molisols. Potential natural vegetation is deciduous broad-leaved forest dominated by Fagus sylvatica. Other species occurring in the area are Fraxinus excelsior, Larix decidua, Picea abies, Quercus spp., Acer spp. However, the region is mostly used as cropland. Data on tree DBH are reconstructed from tree ring measurement (Babst et al. 2014) and historical management information for the time period from 1944 to 2010. The mean DBH of this Fagus sylvatica stand was 29 cm in the year 2010. More information about the site can be found in Ladekarl (2001), Pilegaard et al. (2003, 2011), and Wu et al. (2013)."

DATASETS

To download any dataset, you have to provide a dataset name and a location

data <-getData( dataset =  "CLIMATE_LOCAL", location = "soro")

collapse

This option specifies wether the returned data should be data frame or a list of data frames. This argument is relevant when dowloading data from SOIL or ISIMIP datasets.

For ISIMIP datasets, by setting collapse to FALSE youwill obtain a list with dataframes, named after the forcing datasets and conditions. Otherwise, the data will return in a unique data frame.

data <- getData(dataset ="CLIMATE_ISIMIP2A", location = "soro", collapse = F)
names(data)
## [1] "GSWP3"     "PRINCETON" "WATCH"     "WFDEI"
names(data[[1]])
##  [1] "record_id"      "site"           "site_id"        "date"          
##  [5] "forcingDataset" "day"            "mo"             "year"          
##  [9] "tmax_degC"      "tmean_degC"     "tmin_degC"      "p_mm"          
## [13] "relhum_percent" "airpress_hPa"   "rad_Jcm2day"    "wind_ms"

We recommend always use unset collapse when downloading SOIL data, becuase in many cases SOIL is a collection of tables.

data <- getData(dataset ="SOIL", location = "soro", collapse = F)
str(data, 1)
## List of 5
##  $ :'data.frame':    1 obs. of  8 variables:
##  $ :'data.frame':    5 obs. of  16 variables:
##  $ :'data.frame':    3 obs. of  12 variables:
##  $ :'data.frame':    1 obs. of  14 variables:
##  $ :'data.frame':    5 obs. of  12 variables:
names(data[[1]])
## [1] "record_id"     "site"          "site_id"       "table_id"     
## [5] "layer_id"      "upperDepth_cm" "lowerDepth_cm" "type_fao"

forcingDataset, forcingCondition

When downloading ISIMIP datasets, regaradless of whether it is climate, nitrogen deposition or CO2 data, you might want to select specific forcing datasets and/or conditions. With the function arguments forcingDataset and forcingConditions is possible, respectively.

data <- getData( dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6")
knitr::kable(head(data),  align = "l")
record_id site site_id date forcingDataset forcingConditions day mo year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
2194374 soro 21 2006-01-01 GFDLESM2M rcp2p6 1 1 2006 4.795770 3.271880 -0.661963 3.5799900 83.6211 984.678 213.688 8.91397
2194375 soro 21 2006-01-02 GFDLESM2M rcp2p6 2 1 2006 2.531210 -1.260170 -3.237280 0.0000000 80.6147 1000.790 170.412 6.49315
2194376 soro 21 2006-01-03 GFDLESM2M rcp2p6 3 1 2006 -1.635780 -2.116130 -2.662660 0.0000000 71.5942 1001.730 253.197 2.98789
2194377 soro 21 2006-01-04 GFDLESM2M rcp2p6 4 1 2006 0.781488 -0.917487 -2.497320 0.0000000 73.3637 1001.090 239.468 4.16723
2194378 soro 21 2006-01-05 GFDLESM2M rcp2p6 5 1 2006 0.856897 0.441339 -0.221411 0.0725665 83.6679 998.288 169.763 6.15931
2194379 soro 21 2006-01-06 GFDLESM2M rcp2p6 6 1 2006 2.576410 0.935022 0.253656 0.5808390 86.0278 1006.040 148.146 6.08605

The abote getData call is actually equivalent to

data <- getData(dataset ="CLIMATE_ISIMIP2B_GFDLESM2M_rcp2p6", location ="soro")
knitr::kable(head(data),  align = "l")
record_id site site_id date forcingDataset forcingConditions day mo year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
2194374 soro 21 2006-01-01 GFDLESM2M rcp2p6 1 1 2006 4.795770 3.271880 -0.661963 3.5799900 83.6211 984.678 213.688 8.91397
2194375 soro 21 2006-01-02 GFDLESM2M rcp2p6 2 1 2006 2.531210 -1.260170 -3.237280 0.0000000 80.6147 1000.790 170.412 6.49315
2194376 soro 21 2006-01-03 GFDLESM2M rcp2p6 3 1 2006 -1.635780 -2.116130 -2.662660 0.0000000 71.5942 1001.730 253.197 2.98789
2194377 soro 21 2006-01-04 GFDLESM2M rcp2p6 4 1 2006 0.781488 -0.917487 -2.497320 0.0000000 73.3637 1001.090 239.468 4.16723
2194378 soro 21 2006-01-05 GFDLESM2M rcp2p6 5 1 2006 0.856897 0.441339 -0.221411 0.0725665 83.6679 998.288 169.763 6.15931
2194379 soro 21 2006-01-06 GFDLESM2M rcp2p6 6 1 2006 2.576410 0.935022 0.253656 0.5808390 86.0278 1006.040 148.146 6.08605

variables

For any dataset, it is possible to define the variable or variables to be downloaded

data <- getData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
                 variables = "p_mm")
knitr::kable(head(data),  align = "l")
record_id site site_id date year day mo forcingDataset forcingConditions p_mm
2194374 soro 21 2006-01-01 2006 1 1 GFDLESM2M rcp2p6 3.5799900
2194375 soro 21 2006-01-02 2006 2 1 GFDLESM2M rcp2p6 0.0000000
2194376 soro 21 2006-01-03 2006 3 1 GFDLESM2M rcp2p6 0.0000000
2194377 soro 21 2006-01-04 2006 4 1 GFDLESM2M rcp2p6 0.0000000
2194378 soro 21 2006-01-05 2006 5 1 GFDLESM2M rcp2p6 0.0725665
2194379 soro 21 2006-01-06 2006 6 1 GFDLESM2M rcp2p6 0.5808390

species

When downloading TREE or STAND data, you can select species with the argument species. It takes both full species name or the species id.

data <- getData(dataset ="TREE", location ="hyytiala", species = "Pinus sylvestris")
data <- getData( location ="hyytiala", dataset ="TREE", species = "pisy")

period

For time series data, it is possible to subset the data to a specific period.

data <- getData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
                 period = c("2006-01-01","2006-12-31"))
range(data$date)
## [1] "2006-01-01" "2006-12-31"

quality

Some datasets, such as CLIMATE_LOCAL or FLUX, have qualitfy flags to indicate how the data were obtained. Please be aware of the values of quality flags before using this option, the definition of the flags is available in the metadata.

When passing a quality flag value, you should also define how the thresholding should be applied. Values out the selected range will be dropped from the data based on your query.

data <- getData(dataset = "CLIMATE_LOCAL", location = "soro", period = c("2011-01-01","2012-12-31"), quality = 1, decreasing = FALSE)
data <- getData(dataset = "FLUX", location = "soro", period = c("2011-01-01","2012-12-31"), quality = 0, decreasing = TRUE)

The plotData function

The plotData function performs a query to the database, downloads the data, applies the desired options (time period, quality flag) and shapes the final data into a time series for plotting. It requires a dataset name and a location. Check the help files to see what datasets are supported.

Normal plotting

A simple plot call looks like

plotData(dataset = "CLIMATE_LOCAL", location = "le_bray", automaticPanels = TRUE)

Or for tree data

plotData(dataset = "TREE", location = "solling_beech",   automaticPanels = TRUE)

Note that argument automaticPanels that defines whether the plot in a panel.

Additional options

Besides, it support the same options than getData

  • forcingDataset, forcingCondition
plotData(dataset ="CLIMATE_ISIMIP2B", location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6", automaticPanels = TRUE)

  • variables
plotData(dataset ="CLIMATE_ISIMIP2B",location ="soro", forcingDataset="GFDLESM2M", forcingCondition ="rcp2p6",
                 variables = "p_mm")

  • species
plotData(dataset ="TREE", location ="hyytiala", species = "Pinus sylvestris", automaticPanels = TRUE)

  • period
plotData("CLIMATE_LOCAL", "soro", period = c("2011-01-01","2012-12-31"))

  • quality
plotData("CLIMATE_LOCAL", "soro", period = c("2011-01-01","2012-12-31"), quality = 1, decreasing = FALSE)

plotData("FLUX", "soro", period = c("2011-01-01","2012-12-31"), quality = 0, decreasing = TRUE)

- aggregate

You can also aggregate data by defining aggregate and FUN. The data can by aggregated by day, month,year or date, and any statistic is supported such as median

plotData(dataset = "CLIMATE_ISIMIP2B", location ="soro",  forcingDataset= "GFDLESM2M",
           forcingCondition="rcp2p6", variables = "tmax_degC", period = c("2020-01-01", "2022-01-01"),
           aggregate = "month", FUN =median, automaticPanels = FALSE)

The summarizeData function

The summarizeData allows to obtain data summaries from the PROFOUNDData database of climatic datasets and the TREE dataset.

TREE

data <-summarizeData(dataset =  "TREE", location = "bily_kriz")
kable(data, row.names = F)
site site_id year species species_id size_m2 density_treeha dbhDQ_cm dbhArith_cm dbhBA_cm heightArith_m heightBA_m ba_m2ha
bily_kriz 3 1997 Picea abies piab 2500 2408 7.391285 7.112625 8.160837 5.631395 6.263354 10.33204
bily_kriz 3 1998 Picea abies piab 2500 2396 8.106565 7.834391 8.863961 6.339399 6.957685 12.36660
bily_kriz 3 1999 Picea abies piab 2500 2392 8.786736 8.504013 9.574108 6.880936 7.499656 14.50461
bily_kriz 3 2000 Picea abies piab 2500 2388 9.415671 9.115075 10.253861 7.497990 8.129110 16.62749
bily_kriz 3 2001 Picea abies piab 2500 1848 10.506718 10.232468 11.265544 8.426840 8.988191 16.02234
bily_kriz 3 2002 Picea abies piab 2500 1836 11.264091 10.981264 12.048025 9.134423 9.692305 18.29594
bily_kriz 3 2003 Picea abies piab 2500 1836 11.955024 11.661656 12.766838 9.801089 10.367013 20.60931
bily_kriz 3 2004 Picea abies piab 2500 1668 12.869809 12.603837 13.621369 10.495923 10.976840 21.69852
bily_kriz 3 2005 Picea abies piab 2500 1664 13.581622 13.299760 14.377679 11.198077 11.690715 24.10718
bily_kriz 3 2006 Picea abies piab 2500 1580 14.278164 13.988861 15.087051 11.515190 12.049585 25.29832
bily_kriz 3 2007 Picea abies piab 2500 1508 14.851371 14.574801 15.631127 11.997878 12.487173 26.12307
bily_kriz 3 2008 Picea abies piab 2500 1500 15.585562 15.301067 16.384768 12.359733 12.868074 28.61713
bily_kriz 3 2009 Picea abies piab 2500 1492 16.186739 15.885791 17.033125 12.892992 13.426940 30.70276
bily_kriz 3 2010 Picea abies piab 2500 1488 16.688517 16.372850 17.570925 13.436828 13.994286 32.54830
bily_kriz 3 2011 Picea abies piab 2500 1488 17.270525 16.935753 18.203030 14.131183 14.721789 34.85812
bily_kriz 3 2012 Picea abies piab 2500 1268 18.269222 17.926183 19.217967 13.517350 14.435891 33.23910
bily_kriz 3 2013 Picea abies piab 2500 1256 18.601908 18.249363 19.574279 13.769745 14.699054 34.13458
bily_kriz 3 2014 Picea abies piab 2500 1256 19.090841 18.723248 20.104355 14.059873 15.011682 35.95255
bily_kriz 3 2015 Picea abies piab 2500 1252 19.387417 18.991693 20.465280 14.233227 15.263984 36.96018

CLIMATE

CLIMATE_LOCAL
data <-summarizeData(dataset =  "CLIMATE_LOCAL", location = "bily_kriz")
kable(data, row.names = F)
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
bily_kriz 3 2000 13.530145 8.536865 4.102271 1490.324 79.93809 912.7901 370604.5 2.350770
bily_kriz 3 2001 12.416737 7.674437 3.716715 1567.342 82.74661 912.3483 341850.8 2.474911
bily_kriz 3 2002 12.978551 8.296474 4.418110 1378.978 86.42986 913.0215 375278.4 2.198978
bily_kriz 3 2003 11.091126 6.161538 2.349707 1004.007 72.76064 914.4979 405381.0 1.980277
bily_kriz 3 2004 12.281959 7.683303 3.645454 1651.989 88.84459 912.8626 367439.9 2.254436
bily_kriz 3 2005 9.310364 5.930202 3.031704 1505.717 80.06642 913.9712 387422.4 1.945468
bily_kriz 3 2006 10.399436 6.877683 3.871940 1394.874 81.55814 914.3021 394615.9 2.022121
bily_kriz 3 2007 10.967189 7.566738 4.421340 1750.245 81.74537 911.7648 379212.4 2.066813
bily_kriz 3 2008 10.537101 7.484678 4.652052 1167.563 83.80125 913.1897 387168.4 2.404200
CLIMATE_ISIMIP

For several forcing datasets and/or forcing conditions

data <-summarizeData(dataset =  "CLIMATE_ISIMIP2B", location = "bily_kriz")
kable(data, row.names = F)
forcingDataset forcingConditions year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
GFDLESM2M historical 1861-2005 11.54169 6.930977 2.2231966 968.3358 74.28709 949.8743 391145.3 3.217614
GFDLESM2M piControl 1661-2099 11.53763 6.811351 2.0799773 1040.6370 77.08760 949.7105 391288.6 2.560670
GFDLESM2M rcp2p6 2006-2099 12.89789 8.310183 3.5774033 1016.4696 73.81166 950.7912 397678.2 3.444829
GFDLESM2M rcp4p5 2006-2099 13.41545 8.748496 3.9531990 989.9021 73.18045 951.1007 401238.3 3.384756
GFDLESM2M rcp6p0 2006-2099 13.26510 8.651463 3.9025928 989.9244 73.30648 951.0994 397579.1 3.415027
GFDLESM2M rcp8p5 2006-2099 14.10468 9.202764 4.2316025 1000.7700 73.27579 951.3680 397358.8 3.196491
HadGEM2ES historical 1861-2005 11.53644 6.750251 1.8246069 949.0047 73.46432 950.2473 401482.0 3.246359
HadGEM2ES piControl 1661-2299 12.34029 7.400779 2.3149606 969.5199 72.05009 950.0176 428085.6 3.231371
HadGEM2ES rcp2p6 2006-2299 14.17385 9.440236 4.6355333 1086.7517 72.40671 950.0760 426495.5 3.226201
HadGEM2ES rcp4p5 2006-2099 15.18882 10.355945 5.4477872 1013.1172 69.91351 950.4404 428360.7 3.228131
HadGEM2ES rcp6p0 2006-2099 15.14908 10.342883 5.4691821 1020.1033 70.03207 950.4964 427706.2 3.250932
HadGEM2ES rcp8p5 2006-2099 16.51697 11.597719 6.6356322 990.1365 68.08624 950.7368 438959.7 3.271677
IPSLCM5ALR historical 1861-2005 10.98010 6.358021 1.6019083 1026.9663 75.85932 949.5280 397736.8 3.260216
IPSLCM5ALR piControl 1661-2299 10.43142 5.751357 0.8944435 1055.7788 76.61966 949.3137 414642.6 3.111507
IPSLCM5ALR rcp2p6 2006-2299 13.35131 8.822487 4.2216854 1097.7286 73.85492 949.7823 421470.1 3.215132
IPSLCM5ALR rcp4p5 2006-2299 14.95644 10.311434 5.6492760 1047.1603 72.04049 950.5808 426964.3 3.062641
IPSLCM5ALR rcp6p0 2006-2099 13.96568 9.406104 4.7833788 1044.1505 72.55214 950.1633 420093.3 3.147624
IPSLCM5ALR rcp8p5 2006-2299 20.89522 16.096453 11.2930703 939.4859 66.13040 951.0250 435453.7 3.019524
MIROC5 historical 1861-2005 11.53099 6.838927 1.9740510 966.6290 73.72307 950.1136 398037.0 3.298318
MIROC5 piControl 1661-2299 12.97621 7.789709 2.5460838 1000.4297 71.12007 949.7192 453618.2 3.090434
MIROC5 rcp2p6 2006-2299 14.38910 9.211597 3.9549275 1032.4024 69.66650 950.6783 459552.8 3.365197
MIROC5 rcp4p5 2006-2099 14.75842 9.597190 4.4397434 1072.1900 70.74752 950.7222 442917.9 3.084660
MIROC5 rcp6p0 2006-2099 14.54981 9.412531 4.2381155 1069.4153 70.59043 950.5556 445612.3 3.168073
MIROC5 rcp8p5 2006-2099 15.82312 10.560728 5.2869677 1067.6575 69.55227 951.0911 454292.8 3.135116

For only one forcing dataset and forcing conditions

data <-summarizeData(dataset =  "CLIMATE_ISIMIP2B_IPSLCM5ALR_historical", location = "bily_kriz")
kable(head(data), row.names = F)
site site_id year tmax_degC tmean_degC tmin_degC p_mm relhum_percent airpress_hPa rad_Jcm2day wind_ms
bily_kriz 3 1861 11.998002 7.181227 2.1512612 1042.1062 75.13935 949.7655 430170.8 2.915605
bily_kriz 3 1862 8.601109 4.253349 -0.2935495 992.2576 77.44364 948.6095 380275.5 3.273053
bily_kriz 3 1863 10.811001 6.334792 1.6841171 1075.9658 77.80697 948.7587 396601.6 3.161322
bily_kriz 3 1864 9.958074 4.968835 -0.2399347 969.7612 76.24269 949.5919 438632.8 3.278511
bily_kriz 3 1865 11.024017 6.382603 1.6215635 1017.4756 75.40079 948.5346 422913.8 2.987183
bily_kriz 3 1866 12.541975 7.771579 2.9999504 1015.3766 73.85415 950.6490 421603.8 3.134281

The queryDB function: parsing your own queries

The package functions are designed to ease the access to database by providing an R interface. However, if you feel confident with SQL syntaxis, you are ready to perfom much advanced queries. The function queryDB, allows to perform self-defined queries,

A basic query is SELECT FROM TABLE*, which will return all variables in the table.

overview <- queryDB("SELECT * FROM OVERVIEW")
tree <- queryDB("SELECT * FROM TREE")

More advanced queries include defining variables and conditions as the example below

myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL WHERE tmax_degC > 20 AND site == 'hyytiala' AND year == 2010")

Besides, the database contains several views with ready-made queries (check browseData(“DATASETS”)), so that the two statments below are equivalent

myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL WHERE site == 'hyytiala'")
myQuery <- queryDB("SELECT date, tmax_degC FROM CLIMATE_LOCAL_12")

This also works with tree species

myQuery <- queryDB("SELECT  * FROM TREE WHERE species == 'Picea abies'")
myQuery <- queryDB("SELECT  * FROM TREE_piab")

Hint: Check the last section for furhter information on SQL syntaxis.

Package structure

Both functions rely on several utility functions. Regardless of the requested data with the plotData or the getData, the following steps take place:

  1. Create and validate the SQL query (parseQuery.R). Creates a query item and validates it.

  2. Check the requested variables (parseVariables.R) The requested variables are proven for spelling mistakes. This is step is not included in the parseQuery function because it does not affect the query. All variables for the requested dataset and location are download. Once download, only the selected variables will be displayed.

  3. Fetch the Query and download the data (fetchQuery.R) If previous steps were succesfull, the data will be downloaded.

  4. Format data (formatData.R) This function will transform the queried data into a dataframe, or list of dataframes depending on what was requested (see above examples). It relies on other functions such as

Using the databse via sql

To access the database you can use an SQLite database explorer such as SQLiteStudio. Such software allows to visualize and download through an interface as well as writing SQL statements. Further information on SQLite chracterisctics can be found at the SQLite website. Besides, there are plenty of resources about using SQL like this one

References